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4A survey of mobility models for ad hoc network research
T. Camp, J. Boleng, and V. Davies. Wireless communications and mobile computing, 2 (5): 483--502 (2002)
7 years ago by @becker
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inthesis
diss
adhoc
human
mobility
navigation
review
survey
citedby:scholar:count:5258
citedby:scholar:timestamp:2017-12-20
inthesisdissadhochumanmobilitynavigationreviewsurveycitedby:scholar:count:5258citedby:scholar:timestamp:2017-12-20
(0)
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7Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge
D. Benz, A. Hotho, S. Stützer, and G. Stumme. Web Science Conference (WebSci), Raleigh, NC, USA, (2010)
7 years ago by @becker
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diss
emerge
emerging
inthesis
knowledge
ontologies
ontology
semantic
semantics
dissemergeemerginginthesisknowledgeontologiesontologysemanticsemantics
(0)
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5Friendship and mobility: user movement in location-based social networks
E. Cho, S. Myers, and J. Leskovec. International Conference on Knowledge Discovery and Data Mining (SIGKDD), page 1082--1090. ACM, ACM, (2011)
7 years ago by @becker
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citedby:scholar:count:1503
citedby:scholar:timestamp:2017-12-19
diss
imported-verified
inthesis
main
photowalking
thema
thema:friendshipandmobility
thema:mobility
citedby:scholar:count:1503citedby:scholar:timestamp:2017-12-19dissimported-verifiedinthesismainphotowalkingthemathema:friendshipandmobilitythema:mobility
(0)
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11A Generic Platform for Ubiquitous and Subjective Data
M. Becker, J. Mueller, A. Hotho, and G. Stumme. Conference on Pervasive and Ubiquitous Computing Adjunct Publication, page 1175--1182. New York, NY, USA, (2013)
7 years ago by @becker
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citedby:scholar:count:17
citedby:scholar:timestamp:2017-12-15
diss
diss:allmypubs
eva
everyaware
inthesis
myown
platform
citedby:scholar:count:17citedby:scholar:timestamp:2017-12-15dissdiss:allmypubsevaeveryawareinthesismyownplatform
(0)
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2Interactive tag maps and tag clouds for the multiscale exploration of large spatio-temporal datasets
A. Slingsby, J. Dykes, J. Wood, and K. Clarke. International Conference on Information Visualization, page 497--504. IEEE, (2007)
7 years ago by @becker
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citedby:scholar:count:59
citedby:scholar:timestamp:2017-12-13
diss
geo
inthesis
spatial
visualization
viztrails
citedby:scholar:count:59citedby:scholar:timestamp:2017-12-13dissgeointhesisspatialvisualizationviztrails
(0)
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2FlowSampler: Visual analysis of urban flows in geolocated social media data
A. Chua, E. Marcheggiani, L. Servillo, and A. Moere. International Conference on Social Informatics (Socinfo), page 5--17. Springer, (2014)
7 years ago by @becker
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citedby:scholar:count:15
citedby:scholar:timestamp:2017-12-13
diss
geo
inthesis
spatial
visualization
viztrails
citedby:scholar:count:15citedby:scholar:timestamp:2017-12-13dissgeointhesisspatialvisualizationviztrails
(0)
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1A visualization system for space-time and multivariate patterns (vis-stamp)
D. Guo, J. Chen, A. MacEachren, and K. Liao. IEEE Transactions on Visualization and Computer Graphics, 12 (6): 1461--1474 (2006)
7 years ago by @becker
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citedby:scholar:count:276
citedby:scholar:timestamp:2017-12-13
diss
geo
inthesis
spatial
visualization
viztrails
citedby:scholar:count:276citedby:scholar:timestamp:2017-12-13dissgeointhesisspatialvisualizationviztrails
(0)
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1Geovisualization of human activity patterns using 3D GIS: a time-geographic approach
M. Kwan, and J. Lee. Spatially integrated social science, (2004)
7 years ago by @becker
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citedby:scholar:count:300
citedby:scholar:timestamp:2017-12-13
diss
geo
inthesis
spatial
visualization
viztrails
citedby:scholar:count:300citedby:scholar:timestamp:2017-12-13dissgeointhesisspatialvisualizationviztrails
(0)
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1Space--time density of trajectories: exploring spatio-temporal patterns in movement data
U. Demsar, and K. Virrantaus. International Journal of Geographical Information Science, 24 (10): 1527--1542 (2010)
7 years ago by @becker
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citedby:scholar:count:171
citedby:scholar:timestamp:2017-12-13
diss
geo
inthesis
spatial
visualization
viztrails
citedby:scholar:count:171citedby:scholar:timestamp:2017-12-13dissgeointhesisspatialvisualizationviztrails
(0)
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2Exploratory spatio-temporal visualization: an analytical review
N. Andrienko, G. Andrienko, and P. Gatalsky. Journal of Visual Languages & Computing, 14 (6): 503--541 (2003)
7 years ago by @becker
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inthesis
diss
viztrails
geo
spatial
visualization
citedby:scholar:count:393
citedby:scholar:timestamp:2017-12-13
inthesisdissviztrailsgeospatialvisualizationcitedby:scholar:count:393citedby:scholar:timestamp:2017-12-13
(0)
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2Constructing knowledge from multivariate spatiotemporal data: integrating geographical visualization with knowledge discovery in database methods
A. MacEachren, M. Wachowicz, R. Edsall, D. Haug, and R. Masters. International Journal of Geographical Information Science, 13 (4): 311--334 (1999)
7 years ago by @becker
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inthesis
diss
viztrails
geo
spatial
visualization
citedby:scholar:count:294
citedby:scholar:timestamp:2017-12-13
inthesisdissviztrailsgeospatialvisualizationcitedby:scholar:count:294citedby:scholar:timestamp:2017-12-13
(0)
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1GIS methods in time-geographic research: geocomputation and geovisualization of human activity patterns
M. Kwan. Geografiska Annaler: Series B, Human Geography, 86 (4): 267--280 (2004)
7 years ago by @becker
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citedby:scholar:count:297
citedby:scholar:timestamp:2017-12-13
diss
geo
inthesis
spatial
visualization
viztrails
citedby:scholar:count:297citedby:scholar:timestamp:2017-12-13dissgeointhesisspatialvisualizationviztrails
(0)
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1The integration of geographic visualization with knowledge discovery in databases and geocomputation
M. Gahegan, M. Wachowicz, M. Harrower, and T. Rhyne. Cartography and Geographic Information Science, 28 (1): 29--44 (2001)
7 years ago by @becker
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inthesis
diss
viztrails
geo
spatial
visualization
citedby:scholar:count:142
citedby:scholar:timestamp:2017-12-13
inthesisdissviztrailsgeospatialvisualizationcitedby:scholar:count:142citedby:scholar:timestamp:2017-12-13
(0)
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2A survey of traffic data visualization
W. Chen, F. Guo, and F. Wang. IEEE Transactions on Intelligent Transportation Systems, 16 (6): 2970--2984 (2015)
7 years ago by @becker
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inthesis
diss
viztrails
geo
spatial
visualization
citedby:scholar:count:49
citedby:scholar:timestamp:2017-12-13
inthesisdissviztrailsgeospatialvisualizationcitedby:scholar:count:49citedby:scholar:timestamp:2017-12-13
(0)
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10A survey on information visualization: Recent advances and challenges
S. Liu, W. Cui, Y. Wu, and M. Liu. The Visual Computer, 30 (12): 1373--1393 (2014)
7 years ago by @becker
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citedby:scholar:count:150
citedby:scholar:timestamp:2017-12-13
diss
geo
inthesis
spatial
visualization
viztrails
citedby:scholar:count:150citedby:scholar:timestamp:2017-12-13dissgeointhesisspatialvisualizationviztrails
(0)
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1Geospatial big data handling theory and methods: A review and research challenges
S. Li, S. Dragicevic, F. Castro, M. Sester, S. Winter, A. Coltekin, C. Pettit, B. Jiang, J. Haworth, A. Stein and 1 other author(s). Journal of Photogrammetry and Remote Sensing (ISPRS), (2016)
7 years ago by @becker
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citedby:scholar:count:70
citedby:scholar:timestamp:2017-12-13
diss
geo
inthesis
spatial
visualization
viztrails
citedby:scholar:count:70citedby:scholar:timestamp:2017-12-13dissgeointhesisspatialvisualizationviztrails
(0)
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7Querying distributed RDF data sources with SPARQL
B. Quilitz, and U. Leser. European Semantic Web Conference, page 524--538. Springer, (2008)
7 years ago by @becker
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inthesis
diss
sparql
viztrails
citedby:scholar:count:470
citedby:scholar:timestamp:2017-12-13
inthesisdisssparqlviztrailscitedby:scholar:count:470citedby:scholar:timestamp:2017-12-13
(0)
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1The minimum description length principle
P. Grünwald. MIT press, (2007)
7 years ago by @becker
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citedby:scholar:count:1067
citedby:scholar:timestamp:2017-12-12
description
diss
inthesis
length
minimum
citedby:scholar:count:1067citedby:scholar:timestamp:2017-12-12descriptiondissinthesislengthminimum
(0)
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4Cross-validatory choice and assessment of statistical predictions
M. Stone. Journal of the royal statistical society. Series B (Methodological), (1974)
7 years ago by @becker
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inthesis
diss
cross
validation
model
comparison
citedby:scholar:count:6909
citedby:scholar:timestamp:2017-12-12
inthesisdisscrossvalidationmodelcomparisoncitedby:scholar:count:6909citedby:scholar:timestamp:2017-12-12
(0)
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2The Theory of Probability
H. Jeffreys. Oxford University Press, Third edition, (1961)
7 years ago by @becker
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bayes
diss
factor
interpretation
inthesis
table
bayesdissfactorinterpretationinthesistable
(0)
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26Ontology learning for the semantic web
A. Maedche, and S. Staab. Intelligent Systems, 16 (2): 72--79 (2001)
7 years ago by @becker
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citedby:scholar:count:2622
citedby:scholar:timestamp:2017-12-10
diss
inthesis
ontology
semantic
staab
web
citedby:scholar:count:2622citedby:scholar:timestamp:2017-12-10dissinthesisontologysemanticstaabweb
(0)
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1The semantic web
T. Berners-Lee, J. Hendler, O. Lassila, and others. Scientific american, 284 (5): 28--37 (2001)
7 years ago by @becker
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inthesis
diss
semantic
web
berners
lee
berners-lee
www
citedby:scholar:count:22344
citedby:scholar:timestamp:2017-12-10
inthesisdisssemanticwebbernersleeberners-leewwwcitedby:scholar:count:22344citedby:scholar:timestamp:2017-12-10
(0)
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1Handbook on ontologies
S. Staab, and R. Studer. Springer Science & Business Media, (2010)
7 years ago by @becker
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citedby:scholar:count:1637
citedby:scholar:timestamp:2017-12-10
diss
handbook
inthesis
ontologies
ontology
rudi
staab
studer
citedby:scholar:count:1637citedby:scholar:timestamp:2017-12-10disshandbookinthesisontologiesontologyrudistaabstuder
(0)
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17Extracting semantic relations from query logs
R. Baeza-Yates, and A. Tiberi. International Conference on Knowledge Discovery and Data Mining (SIGKDD), page 76--85. ACM, (2007)
7 years ago by @becker
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citedby:scholar:count:337
citedby:scholar:timestamp:2017-12-4
diss
folksonomy
inthesis
log
logs
related
relation
relations
semantic
semantics
web
work
citedby:scholar:count:337citedby:scholar:timestamp:2017-12-4dissfolksonomyinthesisloglogsrelatedrelationrelationssemanticsemanticswebwork
(0)
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8Logsonomy-social information retrieval with logdata
B. Krause, R. Jäschke, A. Hotho, and G. Stumme. Conference on Hypertext and Hypermedia, page 157--166. ACM, (2008)
7 years ago by @becker
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citedby:scholar:count:27
citedby:scholar:timestamp:2017-12-4
diss
folksonomy
inthesis
log
logs
related
relation
relations
semantic
semantics
web
work
citedby:scholar:count:27citedby:scholar:timestamp:2017-12-4dissfolksonomyinthesisloglogsrelatedrelationrelationssemanticsemanticswebwork
(0)
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9Characterizing Semantic Relatedness of Search Query Terms
D. Benz, B. Krause, G. Kumar, A. Hotho, and G. Stumme. Workshop on Explorative Analytics of Information Networks at ECML PKDD, page 119--135. (2009)
7 years ago by @becker
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citedby:scholar:count:12
citedby:scholar:timestamp:2017-12-4
diss
folksonomy
inthesis
log
logs
related
relation
relations
semantic
semantics
web
work
citedby:scholar:count:12citedby:scholar:timestamp:2017-12-4dissfolksonomyinthesisloglogsrelatedrelationrelationssemanticsemanticswebwork
(0)
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1Hedonic and utilitarian motivations for online retail shopping behavior
T. Childers, C. Carr, J. Peck, and S. Carson. Journal of retailing, 77 (4): 511--535 (2001)
7 years ago by @becker
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inthesis
diss
example
online
shop
understanding
navigation
behavior
shopping
web
store
citedby:scholar:count:2596
citedby:scholar:timestamp:2017-11-17
inthesisdissexampleonlineshopunderstandingnavigationbehaviorshoppingwebstorecitedby:scholar:count:2596citedby:scholar:timestamp:2017-11-17
(0)
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4Video suggestion and discovery for youtube: taking random walks through the view graph
S. Baluja, R. Seth, D. Sivakumar, Y. Jing, J. Yagnik, S. Kumar, D. Ravichandran, and M. Aly. International Conference on World Wide Web, page 895--904. ACM, (2008)
7 years ago by @becker
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citedby:scholar:count:388
citedby:scholar:timestamp:2017-11-17
diss
example
inthesis
navigation
web
youtube
citedby:scholar:count:388citedby:scholar:timestamp:2017-11-17dissexampleinthesisnavigationwebyoutube
(0)
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11Mining Subgroups with Exceptional Transition Behavior
F. Lemmerich, M. Becker, P. Singer, D. Helic, A. Hotho, and M. Strohmaier. Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 965--974. New York, NY, USA, ACM, (2016)
7 years ago by @becker
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bayes
behavior
chain
cv
discovery
diss
diss:allmypubs
emm
exceptional
factor
human
hyptrails
inthesis
kdd
markov
mining
model
myown
navigation
p21
project:2023-tracking
selected
subgroup
subgroups
transition
bayesbehaviorchaincvdiscoverydissdiss:allmypubsemmexceptionalfactorhumanhyptrailsinthesiskddmarkovminingmodelmyownnavigationp21project:2023-trackingselectedsubgroupsubgroupstransition
(0)
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1The modifiable areal unit problem and implications for landscape ecology
D. Jelinski, and J. Wu. Landscape Ecology, 11 (3): 129--140 (1996)
7 years ago by @becker
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areal
cell
citedby:scholar:count:562
citedby:scholar:timestamp:2017-10-24
diss
grid
inthesis
mau
maup
modifiable
problem
size
unit
arealcellcitedby:scholar:count:562citedby:scholar:timestamp:2017-10-24dissgridinthesismaumaupmodifiableproblemsizeunit
(0)
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1GIS, spatial analysis and spatial statistics
D. Unwin. Progress in Human Geography, 20 (4): 540--551 (1996)
7 years ago by @becker
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areal
cell
diss
grid
inthesis
mau
maup
modifiable
problem
size
unit
citedby:scholar:count:231
citedby:scholar:timestamp:2017-10-24
arealcelldissgridinthesismaumaupmodifiableproblemsizeunitcitedby:scholar:count:231citedby:scholar:timestamp:2017-10-24
(0)
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1Scale and scaling: a cross-disciplinary perspective
J. Wu. Key topics in landscape ecology, Cambridge University Press, (2007)
7 years ago by @becker
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areal
cell
citedby:scholar:count:73
citedby:scholar:timestamp:2017-10-24
diss
grid
inthesis
mau
maup
modifiable
problem
size
unit
arealcellcitedby:scholar:count:73citedby:scholar:timestamp:2017-10-24dissgridinthesismaumaupmodifiableproblemsizeunit
(0)
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2Gender differences in information seeking behavior in three universities in West Bengal, India
S. Halder, A. Ray, and P. Chakrabarty. The International Information & Library Review, 42 (4): 242--251 (2010)
7 years ago by @becker
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inthesis
diss
gender
differences
information
seeking
web
navigation
citedby:scholar:count:34
citedby:scholar:timestamp:2017-9-13
inthesisdissgenderdifferencesinformationseekingwebnavigationcitedby:scholar:count:34citedby:scholar:timestamp:2017-9-13
(0)
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1Nordic democracy of taste? Cultural omnivorousness in musical and literary taste preferences in Finland
S. Purhonen, J. Gronow, and K. Rahkonen. Poetics, 38 (3): 266--298 (2010)
7 years ago by @becker
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inthesis
diss
finland
metal
citedby:scholar:count:47
citedby:scholar:timestamp:2017-8-20
inthesisdissfinlandmetalcitedby:scholar:count:47citedby:scholar:timestamp:2017-8-20
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1A gap analysis of Internet-of-Things platforms
J. Mineraud, O. Mazhelis, X. Su, and S. Tarkoma. Computer Communications, (2016)
7 years ago by @becker
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citedby:scholar:count:73
citedby:scholar:timestamp:2017-8-19
diss
gap
inthesis
iot
platform
platforms
review
survey
system
systems
citedby:scholar:count:73citedby:scholar:timestamp:2017-8-19dissgapinthesisiotplatformplatformsreviewsurveysystemsystems
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1Agents, bookmarks and clicks: a topical model of web navigation
M. Meiss, B. Goncalves, J. Ramasco, A. Flammini, and F. Menczer. Proceedings of the 21st ACM conference on Hypertext and hypermedia, page 229--234. ACM, (2010)
7 years ago by @becker
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web
navigation
inthesis
diss
agent
based
model
behavior
online
citedby:scholar:count:12
citedby:scholar:timestamp:2017-8-9
webnavigationinthesisdissagentbasedmodelbehavioronlinecitedby:scholar:count:12citedby:scholar:timestamp:2017-8-9
(0)
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2What's in a session: Tracking individual behavior on the web
M. Meiss, J. Duncan, B. Goncalves, J. Ramasco, and F. Menczer. Conference on Hypertext and Hypermedia, page 173--182. ACM, (2009)
7 years ago by @becker
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behavior
citedby:scholar:count:45
citedby:scholar:timestamp:2017-8-9
diss
inthesis
navigation
online
related
session
web
work
behaviorcitedby:scholar:count:45citedby:scholar:timestamp:2017-8-9dissinthesisnavigationonlinerelatedsessionwebwork
(0)
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3On the lack of typical behavior in the global Web traffic network
M. Meiss, F. Menczer, and A. Vespignani. Proceedings of the 14th international conference on World Wide Web, page 510--518. ACM, (2005)
7 years ago by @becker
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inthesis
diss
web
analysis
related
work
modeling
citedby:scholar:count:35
citedby:scholar:timestamp:2017-8-9
inthesisdisswebanalysisrelatedworkmodelingcitedby:scholar:count:35citedby:scholar:timestamp:2017-8-9
(0)
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1Wikipedia Navigation Vectors
E. Wulczyn. figshare, (February 2017)
7 years ago by @becker
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diss
embedding
embeddings
inthesis
navigation
online
web
wikipedia
dissembeddingembeddingsinthesisnavigationonlinewebwikipedia
(0)
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5Exploring the differences and similarities between hierarchical decentralized search and human navigation in information networks
C. Trattner, P. Singer, D. Helic, and M. Strohmaier. International Conference on Knowledge Management and Knowledge Technologies, page 14. ACM, (2012)
7 years ago by @becker
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citedby:scholar:count:16
citedby:scholar:timestamp:2017-8-8
diss
human
information
inthesis
navigation
network
online
web
citedby:scholar:count:16citedby:scholar:timestamp:2017-8-8disshumaninformationinthesisnavigationnetworkonlineweb
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1Multiple comparisons, explained
S. Goodman. American journal of epidemiology, 147 (9): 807--812 (1998)
7 years ago by @becker
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multiple
comparison
inthesis
diss
citedby:scholar:count:99
citedby:scholar:timestamp:2017-8-7
multiplecomparisoninthesisdisscitedby:scholar:count:99citedby:scholar:timestamp:2017-8-7
(0)
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10Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Y. Benjamini, and Y. Hochberg. Journal of the royal statistical society. Series B (Methodological), 57 (1): 289--300 (1995)
7 years ago by @becker
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citedby:scholar:count:40783
citedby:scholar:timestamp:2017-8-7
comparison
discovery
diss
false
inthesis
multiple
rate
testing
citedby:scholar:count:40783citedby:scholar:timestamp:2017-8-7comparisondiscoverydissfalseinthesismultipleratetesting
(0)
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1Further results on tests of separate families of hypotheses
D. Cox. Journal of the Royal Statistical Society. Series B (Methodological), 24 (2): 406--424 (1962)
7 years ago by @becker
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citedby:scholar:count:1065
citedby:scholar:timestamp:2017-8-4
diss
inthesis
likelihood
nested
non
ratio
test
citedby:scholar:count:1065citedby:scholar:timestamp:2017-8-4dissinthesislikelihoodnestednonratiotest
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1Discrimination between regression models to determine the pattern of enzyme synthesis in synchronous cell cultures
D. Williams. Biometrics, (1970)
7 years ago by @becker
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inthesis
diss
non
nested
likelihood
ratio
test
citedby:scholar:count:67
citedby:scholar:timestamp:2017-8-4
inthesisdissnonnestedlikelihoodratiotestcitedby:scholar:count:67citedby:scholar:timestamp:2017-8-4
(0)
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1Asymptotic normality of test statistics under alternative hypotheses
A. Shapiro. Journal of Multivariate Analysis, 100 (5): 936--945 (2009)
7 years ago by @becker
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inthesis
diss
likelihood
ratio
test
non
nested
citedby:scholar:count:6
citedby:scholar:timestamp:2017-8-4
inthesisdisslikelihoodratiotestnonnestedcitedby:scholar:count:6citedby:scholar:timestamp:2017-8-4
(0)
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1Statistical methods for eliciting probability distributions
P. Garthwaite, J. Kadane, and A. O'Hagan. Journal of the American Statistical Association, 100 (470): 680--701 (2005)
7 years ago by @becker
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inthesis
diss
bayes
factor
prior
elicitation
model
comparison
bayesian
citedby:scholar:count:616
citedby:scholar:timestamp:2017-8-4
inthesisdissbayesfactorpriorelicitationmodelcomparisonbayesiancitedby:scholar:count:616citedby:scholar:timestamp:2017-8-4
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1Using priors to formalize theory: Optimal attention and the generalized context model
W. Vanpaemel, and M. Lee. Psychonomic Bulletin & Review, 19 (6): 1047--1056 (2012)
7 years ago by @becker
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1Constructing informative model priors using hierarchical methods
W. Vanpaemel. Journal of Mathematical Psychology, 55 (1): 106--117 (2011)
7 years ago by @becker
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comparison
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citedby:scholar:count:24
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2Using ontologies to model human navigation behavior in information networks: A study based on wikipedia
D. Lamprecht, M. Strohmaier, D. Helic, C. Nyulas, T. Tudorache, N. Noy, and M. Musen. Semantic Web, 6 (4): 403--422 (2015)
7 years ago by @becker
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behavior
citedby:scholar:count:10
citedby:scholar:timestamp:2017-7-28
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inthesis
navigation
ontologies
ontology
web
wikipedia
behaviorcitedby:scholar:count:10citedby:scholar:timestamp:2017-7-28dissinthesisnavigationontologiesontologywebwikipedia
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2How many animals really do the Levy walk?
S. Benhamou. Ecology, 88 (8): 1962--1969 (2007)
7 years ago by @becker
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animal
behavior
citedby:scholar:count:334
citedby:scholar:timestamp:2017-7-28
diss
inthesis
levy
navigation
walk
animalbehaviorcitedby:scholar:count:334citedby:scholar:timestamp:2017-7-28dissinthesislevynavigationwalk
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3Gender differences in web navigation
S. McDonald, and L. Spencer. Women, Work and Computerization, Springer, (2000)
7 years ago by @becker
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inthesis
diss
gener
difference
web
navigation
heterogeneity
citedby:scholar:count:29
citedby:scholar:timestamp:2017-7-24
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1Exploring universal patterns in human home-work commuting from mobile phone data
K. Kung, K. Greco, S. Sobolevsky, and C. Ratti. PloS One, 9 (6): e96180 (2014)
7 years ago by @becker
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citedby:scholar:count:83
citedby:scholar:timestamp:2017-7-24
commuting
diss
geo
heterogeneous
human
inthesis
mobility
spatial
citedby:scholar:count:83citedby:scholar:timestamp:2017-7-24commutingdissgeoheterogeneoushumaninthesismobilityspatial
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1Urban form and travel behaviour: micro-level household attributes and residential context
F. Dieleman, M. Dijst, and G. Burghouwt. Urban studies, 39 (3): 507--527 (2002)
7 years ago by @becker
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diss
geo
spatial
travel
behavior
human
mobility
navigation
citedby:scholar:count:400
citedby:scholar:timestamp:2017-7-24
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1The impact of age on website usability
N. Wagner, K. Hassanein, and M. Head. Computers in Human Behavior, (2014)
7 years ago by @becker
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inthesis
diss
age
web
navigation
heterogeneity
citedby:scholar:count:30
citedby:scholar:timestamp:2017-7-21
inthesisdissagewebnavigationheterogeneitycitedby:scholar:count:30citedby:scholar:timestamp:2017-7-21
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1Testing models of consumer search using data on web browsing and purchasing behavior
B. De los Santos, A. Hortacsu, and M. Wildenbeest. The American Economic Review, 102 (6): 2955--2980 (2012)
7 years ago by @becker
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behavior
citedby:scholar:count:214
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inthesis
model
navigation
web
behaviorcitedby:scholar:count:214citedby:scholar:timestamp:2017-7-17dissinthesismodelnavigationweb
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5Modeling online browsing and path analysis using clickstream data
A. Montgomery, S. Li, K. Srinivasan, and J. Liechty. Marketing Science, 23 (4): 579--595 (2004)
7 years ago by @becker
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citedby:scholar:count:428
citedby:scholar:timestamp:2017-7-17
diss
dynamic
inthesis
model
multinomial
navigation
path
predcition
probit
user
web
citedby:scholar:count:428citedby:scholar:timestamp:2017-7-17dissdynamicinthesismodelmultinomialnavigationpathpredcitionprobituserweb
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5Information seeking on the Web: An integrated model of browsing and searching
C. Choo, B. Detlor, and D. Turnbull. First Monday, (2000)
7 years ago by @becker
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inthesis
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seeking
web
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4Orienteering in an information landscape: how information seekers get from here to there
V. O'Day, and R. Jeffries. Conference on Human Factors in Computing Systems, page 438--445. ACM, (1993)
7 years ago by @becker
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citedby:scholar:count:264
citedby:scholar:timestamp:2017-7-17
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inthesis
navigation
orienteering
web
citedby:scholar:count:264citedby:scholar:timestamp:2017-7-17dissinthesisnavigationorienteeringweb
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6Investigating behavioral variability in web search
R. White, and S. Drucker. International Conference on World Wide Web, page 21--30. ACM, (2007)
7 years ago by @becker
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citedby:scholar:count:303
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diss
heterogeneity
inthesis
navigation
web
citedby:scholar:count:303citedby:scholar:timestamp:2017-7-17dissheterogeneityinthesisnavigationweb
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12The perfect search engine is not enough: a study of orienteering behavior in directed search
J. Teevan, C. Alvarado, M. Ackerman, and D. Karger. Conference on Human Factors in Computing Systems, page 415--422. ACM, (2004)
7 years ago by @becker
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citedby:scholar:count:620
citedby:scholar:timestamp:2017-7-17
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inthesis
navigation
orienteering
web
citedby:scholar:count:620citedby:scholar:timestamp:2017-7-17dissinthesisnavigationorienteeringweb
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8ScentTrails: Integrating browsing and searching on the Web
C. Olston, and E. Chi. ACM Transactions on Computer-Human Interaction (TOCHI), 10 (3): 177--197 (2003)
7 years ago by @becker
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information
scent
navigation
enhancement
trails
inthesis
diss
citedby:scholar:count:281
citedby:scholar:timestamp:2017-7-17
informationscentnavigationenhancementtrailsinthesisdisscitedby:scholar:count:281citedby:scholar:timestamp:2017-7-17
(0)
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2Using markov chains for link prediction in adaptive web sites
J. Zhu, J. Hong, and J. Hughes. Soft-Ware 2002: Computing in an Imperfect World, Springer, (2002)
7 years ago by @becker
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inthesis
diss
link
prediction
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inthesisdisslinkpredictioncitedby:scholar:count:174citedby:scholar:timestamp:2017-7-17
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8Web usage mining as a tool for personalization: A survey
D. Pierrakos, G. Paliouras, C. Papatheodorou, and C. Spyropoulos. User modeling and user-adapted interaction, 13 (4): 311--372 (2003)
7 years ago by @becker
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inthesis
diss
web
usage
mining
model
personalization
survey
review
citedby:scholar:count:493
citedby:scholar:timestamp:2017-7-17
inthesisdisswebusageminingmodelpersonalizationsurveyreviewcitedby:scholar:count:493citedby:scholar:timestamp:2017-7-17
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1Enabling scalable online personalization on the Web
D. VanderMeer, K. Dutta, A. Datta, K. Ramamritham, and S. Navanthe. Proceedings of the 2nd ACM conference on Electronic commerce, page 185--196. ACM, (2000)
7 years ago by @becker
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inthesis
diss
web
navigation
personalization
shop
e
commerce
store
online
citedby:scholar:count:70
citedby:scholar:timestamp:2017-7-17
inthesisdisswebnavigationpersonalizationshopecommercestoreonlinecitedby:scholar:count:70citedby:scholar:timestamp:2017-7-17
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5Relational Markov models and their application to adaptive web navigation
C. Anderson, P. Domingos, and D. Weld. International Conference on Knowledge Discovery and Data Mining (SIGKDD), page 143--152. ACM, (2002)
7 years ago by @becker
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citedby:scholar:count:217
citedby:scholar:timestamp:2017-7-17
diss
inthesis
markov
model
navigation
relation
relational
variant
web
citedby:scholar:count:217citedby:scholar:timestamp:2017-7-17dissinthesismarkovmodelnavigationrelationrelationalvariantweb
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3Image ranking based on user browsing behavior
M. Trevisiol, L. Chiarandini, L. Aiello, and A. Jaimes. International Conference on Research and Development in Information Retrieval (SIGIR), page 445--454. ACM, (2012)
7 years ago by @becker
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behavior
citedby:scholar:count:21
citedby:scholar:timestamp:2017-7-16
click
diss
image
inthesis
log
navigation
page
pageviews
ranking
user
view
web
behaviorcitedby:scholar:count:21citedby:scholar:timestamp:2017-7-16clickdissimageinthesislognavigationpagepageviewsrankinguserviewweb
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1Levy flights in human behavior and cognition
A. Baronchelli, and F. Radicchi. Chaos, Solitons & Fractals, (2013)
7 years ago by @becker
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citedby:scholar:count:25
citedby:scholar:timestamp:2017-7-13
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game
geo
inthesis
navigation
online
spatial
web
citedby:scholar:count:25citedby:scholar:timestamp:2017-7-13dissgamegeointhesisnavigationonlinespatialweb
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12MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data
M. Becker, F. Lemmerich, P. Singer, M. Strohmaier, and A. Hotho. Data Mining and Knowledge Discovery, 31 (5): 1359--1390 (September 2017)
7 years ago by @becker
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bayesian
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cv
data
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diss:allmypubs
heterogeneous
human
inthesis
m:
m:id:test1:coordinate:x:162.3686294555664
m:id:test1:coordinate:y:-433.7673454284668
m:id:test1:node
mixedtrails
model
myown
navigation
navigational
project:2023-tracking
project:bmbf
selected
sequence
bayesianbehaviorcomparisoncvdatadissdiss:allmypubsheterogeneoushumaninthesism:m:id:test1:coordinate:x:162.3686294555664m:id:test1:coordinate:y:-433.7673454284668m:id:test1:nodemixedtrailsmodelmyownnavigationnavigationalproject:2023-trackingproject:bmbfselectedsequence
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1To explain or to predict?
G. Shmueli, and others. Statistical Science, 25 (3): 289--310 (2010)
7 years ago by @becker
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analysis
citedby:scholar:count:513
citedby:scholar:timestamp:2017-7-10
data
diss
explain
explanation
inthesis
predict
prediction
analysiscitedby:scholar:count:513citedby:scholar:timestamp:2017-7-10datadissexplainexplanationinthesispredictprediction
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2Discovering popular routes from trajectories
Z. Chen, H. Shen, and X. Zhou. Data Engineering (ICDE), 2011 IEEE 27th International Conference on, page 900--911. IEEE, (2011)
7 years ago by @becker
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travel
routes
gps
inthesis
diss
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travelroutesgpsinthesisdisscitedby:scholar:count:206citedby:scholar:timestamp:2017-7-10
(0)
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2Photo2trip: Generating travel routes from geo-tagged photos for trip planning
X. Lu, C. Wang, J. Yang, Y. Pang, and L. Zhang. International Conference on Multimedia, page 143--152. ACM, (2010)
7 years ago by @becker
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citedby:scholar:count:218
citedby:scholar:timestamp:2017-7-10
diss
flickrtrails
inthesis
photo
phototrails
trails
trip
citedby:scholar:count:218citedby:scholar:timestamp:2017-7-10dissflickrtrailsinthesisphotophototrailstrailstrip
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2Information visualization; assisting low spatial individuals with information access tasks through the use of visual mediators
K. Stanney, and G. Salvendy. Ergonomics, 38 (6): 1184--1198 (1995)
7 years ago by @becker
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inthesis
diss
navigation
web
heterogeneity
heterogeneous
low
spatial
abilities
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inthesisdissnavigationwebheterogeneityheterogeneouslowspatialabilitiescitedby:scholar:count:113citedby:scholar:timestamp:2017-7-3
(0)
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1Mining navigation patterns using a sequence alignment method
B. Hay, G. Wets, and K. Vanhoof. Knowledge and information systems, 6 (2): 150--163 (2004)
7 years ago by @becker
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inthesis
diss
web
navigation
cluster
clustering
clusters
heterogeneous
heterogeneity
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citedby:scholar:timestamp:2017-7-3
inthesisdisswebnavigationclusterclusteringclustersheterogeneousheterogeneitycitedby:scholar:count:83citedby:scholar:timestamp:2017-7-3
(0)
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1Behavioural--based modelling and analysis of Navigation Patterns across Information Networks
V. Kumbaroska, and P. Mitrevski. Journal of Emerging Research and Solutions in ICT, 1 (2): 60--74 (2016)
7 years ago by @becker
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inthesis
heterogeneous
diss
clustering
cluster
navigation
behavior
web
inthesisheterogeneousdissclusteringclusternavigationbehaviorweb
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3Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs
O. Zaiane, M. Xin, and J. Han. Research and Technology Advances in Digital Libraries (ADL), page 19--29. IEEE, (1998)
7 years ago by @becker
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citedby:scholar:count:698
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inthesis
navigation
temporal
time
web
citedby:scholar:count:698citedby:scholar:timestamp:2017-7-3dissinthesisnavigationtemporaltimeweb
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1From user access patterns to dynamic hypertext linking
T. Yan, M. Jacobsen, H. Garcia-Molina, and U. Dayal. Computer Networks and ISDN Systems, 28 (7-11): 1007--1014 (1996)
7 years ago by @becker
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inthesis
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heterogeneity
cluster
clusters
clustering
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citedby:scholar:timestamp:2017-7-3
inthesisdisswebnavigationheterogeneityclusterclustersclusteringcitedby:scholar:count:572citedby:scholar:timestamp:2017-7-3
(0)
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2Web Usage Mining
B. Liu, B. Mobasher, and O. Nasraoui. page 527--603. Springer Berlin Heidelberg, Berlin, Heidelberg, (2011)
7 years ago by @becker
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diss
inthesis
mining
usage
web
dissinthesisminingusageweb
(0)
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15Extracting Semantics from Random Walks on Wikipedia: Comparing Learning and Counting Methods
A. Dallmann, T. Niebler, F. Lemmerich, and A. Hotho. The Workshops of the Tenth International AAAI Conference on Web and Social Media Wiki, page 33--40. (2016)
7 years ago by @becker
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citedby:scholar:count:5
citedby:scholar:timestamp:2017-6-29
diss
dmir
inthesis
navigation
random
semantic
semantics
walk
web
wikipedia
citedby:scholar:count:5citedby:scholar:timestamp:2017-6-29dissdmirinthesisnavigationrandomsemanticsemanticswalkwebwikipedia
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2Modeling semantic and structural knowledge in Web navigation
I. Juvina, and H. van Oostendorp. Discourse Processes, 45 (4-5): 346--364 (2008)
7 years ago by @becker
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citedby:scholar:count:52
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navigation
semantic
semantics
web
citedby:scholar:count:52citedby:scholar:timestamp:2017-6-29dissinthesisnavigationsemanticsemanticsweb
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6Understanding the relationship between searchers' queries and information goals
D. Downey, S. Dumais, D. Liebling, and E. Horvitz. Conference on Information and Knowledge Management (CIKM), page 449--458. ACM, (2008)
7 years ago by @becker
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citedby:scholar:count:160
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diss
goal
information
inthesis
navigation
queries
search
web
citedby:scholar:count:160citedby:scholar:timestamp:2017-6-29dissgoalinformationinthesisnavigationqueriessearchweb
(0)
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7The last click: Why users give up information network navigation
A. Scaria, R. Philip, R. West, and J. Leskovec. International Conference on Web Search and Data Mining, page 213--222. ACM, (2014)
7 years ago by @becker
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backtracking
citedby:scholar:count:14
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diss
inthesis
navigation
web
wikipedia
wikispeedia
backtrackingcitedby:scholar:count:14citedby:scholar:timestamp:2017-6-29dissinthesisnavigationwebwikipediawikispeedia
(0)
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10Novelty and collective attention
F. Wu, and B. Huberman. Proceedings of the National Academy of Sciences, 104 (45): 17599--17601 (2007)
7 years ago by @becker
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inthesis
diss
temproal
web
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time
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inthesisdisstemproalwebnavigationtimecitedby:scholar:count:415citedby:scholar:timestamp:2017-6-26
(0)
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3Mobile web surfing is the same as web surfing
M. Halvey, M. Keane, and B. Smyth. Communications of the ACM, 49 (3): 76--81 (2006)
7 years ago by @becker
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inthesis
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web
surfing
law
universal
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inthesisdisswebsurfinglawuniversalcitedby:scholar:count:46citedby:scholar:timestamp:2017-6-26
(0)
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3Zipf's law for Web surfers
M. Levene, J. Borges, and G. Loizou. Knowledge and Information Systems, 3 (1): 120--129 (2001)
7 years ago by @becker
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inthesis
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length
trail
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inthesisdissnavigationlengthtrailcitedby:scholar:count:84citedby:scholar:timestamp:2017-6-26
(0)
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2A model of web site browsing behavior estimated on clickstream data
R. Bucklin, and C. Sismeiro. Journal of marketing research, 40 (3): 249--267 (2003)
7 years ago by @becker
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7Large scale analysis of web revisitation patterns
E. Adar, J. Teevan, and S. Dumais. Conference on Human Factors in Computing Systems (CHI), page 1197--1206. ACM, (2008)
7 years ago by @becker
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revisit
revisitation
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(0)
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1Unweaving the Web: an exploratory study of low-literate adults' navigation skills on the World Wide Web
C. Zarcadoolas, M. Blanco, J. Boyer, and A. Pleasant. Journal of Health Communication, 7 (4): 309--324 (2002)
7 years ago by @becker
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citedby:scholar:count:101
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demography
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heterogeneity
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citedby:scholar:count:101citedby:scholar:timestamp:2017-6-26demographydissheterogeneityinthesisnavigationweb
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3Web page revisitation revisited: implications of a long-term click-stream study of browser usage
H. Obendorf, H. Weinreich, E. Herder, and M. Mayer. Proceedings of the SIGCHI conference on Human factors in computing systems, page 597--606. ACM, (2007)
7 years ago by @becker
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(0)
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2How people revisit web pages: Empirical findings and implications for the design of history systems
L. Tauscher, and S. Greenberg. International Journal of Human-Computer Studies, 47 (1): 97--137 (1997)
7 years ago by @becker
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(0)
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4Revisitation patterns in world wide web navigation
L. Tauscher, and S. Greenberg. Proceedings of the ACM SIGCHI Conference on Human factors in computing systems, page 399--406. ACM, (1997)
7 years ago by @becker
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repeat
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(0)
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3Spatio-temporal models for estimating click-through rate
D. Agarwal, B. Chen, and P. Elango. International Conference on World Wide Web, page 21--30. ACM, (2009)
7 years ago by @becker
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citedby:scholar:count:99
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temporal
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2Fast mining and forecasting of complex time-stamped events
Y. Matsubara, Y. Sakurai, C. Faloutsos, T. Iwata, and M. Yoshikawa. International Conference on Knowledge Discovery and Data Mining, page 271--279. ACM, (2012)
7 years ago by @becker
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6Studying the use of popular destinations to enhance web search interaction
R. White, M. Bilenko, and S. Cucerzan. Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, page 159--166. ACM, (2007)
7 years ago by @becker
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inthesis
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(0)
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6Mining the search trails of surfing crowds: identifying relevant websites from user activity
M. Bilenko, and R. White. International Conference on World Wide Web, page 51--60. ACM, (2008)
7 years ago by @becker
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activity
citedby:scholar:count:157
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2Mining advertiser-specific user behavior using adfactors
N. Archak, V. Mirrokni, and S. Muthukrishnan. Proceedings of the 19th international conference on World wide web, page 31--40. ACM, (2010)
7 years ago by @becker
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citedby:scholar:count:37
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2How random are online social interactions?
C. Wang, and B. Huberman. Scientific reports, (2012)
7 years ago by @becker
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4Visualization and analysis of clickstream data of online stores for understanding web merchandising
J. Lee, M. Podlaseck, E. Schonberg, and R. Hoch. Data Mining and Knowledge Discovery, 5 (1/2): 59--84 (2001)
7 years ago by @becker
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citedby:scholar:count:207
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1Data preprocessing evaluation for web log mining: Reconstruction of activities of a web visitor
M. Munk, J. Kapusta, and P. Svec. Procedia Computer Science, 1 (1): 2273--2280 (2010)
7 years ago by @becker
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6Personalized news recommendation based on click behavior
J. Liu, P. Dolan, and E. Pedersen. International Conference on Intelligent User Interfaces, page 31--40. ACM, (2010)
7 years ago by @becker
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2Discovery and evaluation of aggregate usage profiles for web personalization
B. Mobasher, H. Dai, T. Luo, and M. Nakagawa. Data mining and knowledge discovery, 6 (1): 61--82 (2002)
7 years ago by @becker
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