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2Discovering and characterizing mobility patterns in urban spaces: A study of Manhattan taxi data
L. Espin Noboa, F. Lemmerich, P. Singer, and M. Strohmaier. International Conference Companion on World Wide Web, page 537--542. International World Wide Web Conferences Steering Committee, ACM, (2016)
8 years ago by @becker
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citedby:scholar:count:4
citedby:scholar:timestamp:2017-3-2
discovery
diss
geo
human
inthesis
manhattan
mobility
pattern
space
spatial
taxi
urban
citedby:scholar:count:4citedby:scholar:timestamp:2017-3-2discoverydissgeohumaninthesismanhattanmobilitypatternspacespatialtaxiurban
(0)
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1Inferring trip purposes and uncovering travel patterns from taxi trajectory data
L. Gong, X. Liu, L. Wu, and Y. Liu. Cartography and Geographic Information Science, 43 (2): 103--114 (2016)
8 years ago by @becker
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taxi
activity
purpose
pattern
travel
trip
inthesis
diss
geo
spatial
human
mobility
citedby:scholar:count:12
citedby:scholar:timestamp:2017-2-21
taxiactivitypurposepatterntraveltripinthesisdissgeospatialhumanmobilitycitedby:scholar:count:12citedby:scholar:timestamp:2017-2-21
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1Spatiotemporal patterns of urban human mobility
S. Hasan, C. Schneider, S. Ukkusuri, and M. González. Journal of Statistical Physics, 151 (1-2): 304--318 (2013)
8 years ago by @becker
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pattern
urban
geo
spatial
inthesis
diss
human
mobility
citedby:scholar:count:72
citedby:scholar:timestamp:2017-2-17
patternurbangeospatialinthesisdisshumanmobilitycitedby:scholar:count:72citedby:scholar:timestamp:2017-2-17
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1Diversity of individual mobility patterns and emergence of aggregated scaling laws
X. Yan, X. Han, B. Wang, and T. Zhou. Scientific Reports, (2013)
8 years ago by @becker
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citedby:scholar:count:58
citedby:scholar:timestamp:2017-2-17
diss
diversity
geo
human
inthesis
law
mobility
pattern
scale
scaling
spatial
subgroup
citedby:scholar:count:58citedby:scholar:timestamp:2017-2-17dissdiversitygeohumaninthesislawmobilitypatternscalescalingspatialsubgroup
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1Uncovering patterns of inter-urban trip and spatial interaction from social media check-in data
Y. Liu, Z. Sui, C. Kang, and Y. Gao. PloS ONE, 9 (1): e86026 (2014)
8 years ago by @becker
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checkin
citedby:scholar:count:97
citedby:scholar:timestamp:2017-2-17
diss
geo
human
inthesis
mobility
pattern
social
spatial
trip
urban
checkincitedby:scholar:count:97citedby:scholar:timestamp:2017-2-17dissgeohumaninthesismobilitypatternsocialspatialtripurban
(0)
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1Inferring human mobility using communication patterns
V. Palchykov, M. Mitrović, H. Jo, J. Saramäki, and R. Pan. arXiv preprint arXiv:1404.7675, (2014)
8 years ago by @becker
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gravity
radiation
population
pattern
call
detail
record
cdr
mobile
phone
geo
spatial
diss
inthesis
mobility
human
citedby:scholar:count:22
citedby:scholar:timestamp:2017-2-14
gravityradiationpopulationpatterncalldetailrecordcdrmobilephonegeospatialdissinthesismobilityhumancitedby:scholar:count:22citedby:scholar:timestamp:2017-2-14
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1Modelling human mobility patterns using photographic data shared online
D. Barchiesi, T. Preis, S. Bishop, and H. Moat. Royal Society open science, 2 (8): 150046 (2015)
8 years ago by @becker
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inthesis
diss
geo
spatial
mobility
human
pattern
photo
flickr
citedby:scholar:count:8
citedby:scholar:timestamp:2017-2-13
inthesisdissgeospatialmobilityhumanpatternphotoflickrcitedby:scholar:count:8citedby:scholar:timestamp:2017-2-13
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2Sensing and Predicting the Pulse of the City through Shared Bicycling
J. Froehlich, J. Neumann, and N. Oliver. International Joint Conference on Artificial Intelligence (IJCAI), page 1420--1426. (2009)
8 years ago by @becker
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bicycle
bike
citedby:scholar:count:165
citedby:scholar:timestamp:2017-2-13
city
diss
geo
human
inthesis
mobility
pattern
spatial
bicyclebikecitedby:scholar:count:165citedby:scholar:timestamp:2017-2-13citydissgeohumaninthesismobilitypatternspatial
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1Mining smart card data for transit riders' travel patterns
X. Ma, Y. Wu, Y. Wang, F. Chen, and J. Liu. Transportation Research Part C: Emerging Technologies, (2013)
8 years ago by @becker
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card
citedby:scholar:count:94
citedby:scholar:timestamp:2017-2-13
diss
geo
human
inthesis
mobility
pattern
smart
spatial
travel
cardcitedby:scholar:count:94citedby:scholar:timestamp:2017-2-13dissgeohumaninthesismobilitypatternsmartspatialtravel
(0)
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1Natural Human Mobility Patterns and Spatial Spread of Infectious Diseases
V. Belik, T. Geisel, and D. Brockmann. Phys. Rev. X, 1 (1): 011001 (August 2011)
8 years ago by @becker
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citedby:scholar:count:139
citedby:scholar:timestamp:2017-2-8
disease
diss
geo
human
inthesis
mobility
pattern
spatial
spread
citedby:scholar:count:139citedby:scholar:timestamp:2017-2-8diseasedissgeohumaninthesismobilitypatternspatialspread
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1Seasonal and spatial mobility patterns of rose shrimp Aristeus antennatus in the Western Mediterranean: results of a long-term study
F. Sardà, F. Maynou, and L. Talló. Marine Ecology Progress Series, (1997)
8 years ago by @becker
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diss
geo
inthesis
mobility
pattern
shrimp
spatial
dissgeointhesismobilitypatternshrimpspatial
(0)
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1Understanding individual mobility patterns from urban sensing data: A mobile phone trace example
F. Calabrese, M. Diao, G. Di Lorenzo, J. Ferreira, and C. Ratti. Transportation research part C: emerging technologies, (2013)
8 years ago by @becker
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call
diss
geo
inthesis
mobile
mobility
pattern
phone
spatial
trace
traces
calldissgeointhesismobilemobilitypatternphonespatialtracetraces
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2Analyzing and geo-visualizing individual human mobility patterns using mobile call records
C. Kang, S. Gao, X. Lin, Y. Xiao, Y. Yuan, Y. Liu, and X. Ma. International Conference on Geoinformatics, page 1--7. IEEE, (2010)
8 years ago by @becker
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call
cell
diss
geo
inthesis
mobility
pattern
patterns
phone
records
spatial
callcelldissgeointhesismobilitypatternpatternsphonerecordsspatial
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1Towards a Taxonomy of Movement Patterns
S. Dodge, R. Weibel, and A. Lautenschütz. Information Visualization, 7 (3): 240--252 (June 2008)
8 years ago by @becker
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diss
geo
inthesis
movement
pattern
patterns
spatial
taxonomy
dissgeointhesismovementpatternpatternsspatialtaxonomy
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3WhereNext: A location predictor on trajectory pattern mining
A. Monreale, F. Pinelli, R. Trasarti, and F. Giannotti. International Conference on Knowledge Discovery and Data Mining, page 637--646. New York, NY, USA, ACM, (2009)
8 years ago by @becker
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citedby:scholar:count:355
citedby:scholar:timestamp:2017-2-4
diss
geo
inthesis
location
mining
pattern
predicition
spatial
trajectory
citedby:scholar:count:355citedby:scholar:timestamp:2017-2-4dissgeointhesislocationminingpatternpredicitionspatialtrajectory
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5Trajectory Pattern Mining
F. Giannotti, M. Nanni, F. Pinelli, and D. Pedreschi. International Conference on Knowledge Discovery and Data Mining (SIGKDD), page 330--339. New York, NY, USA, ACM, (2007)
8 years ago by @becker
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citedby:scholar:count:816
citedby:scholar:timestamp:2017-2-4
diss
geo
inthesis
mining
pattern
spatial
trajectory
citedby:scholar:count:816citedby:scholar:timestamp:2017-2-4dissgeointhesisminingpatternspatialtrajectory
(0)
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3Mining frequent spatio-temporal sequential patterns
H. Cao, N. Mamoulis, and D. Cheung. Data Mining, Fifth IEEE International Conference on, page 8--pp. IEEE, (2005)
8 years ago by @becker
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diss
frequent
geo
inthesis
mining
pattern
sequence
sequential
spatial
temporal
dissfrequentgeointhesisminingpatternsequencesequentialspatialtemporal
(0)
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2On Mining Group Patterns of Mobile Users
Y. Wang, E. Lim, and S. Hwang. page 287--296. Springer Berlin Heidelberg, Berlin, Heidelberg, (2003)
8 years ago by @becker
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citedby:scholar:count:64
citedby:scholar:timestamp:2017-2-3
diss
fpgrowth
geo
group
groups
inthesis
mining
mobile
pattern
sdmap
spatial
citedby:scholar:count:64citedby:scholar:timestamp:2017-2-3dissfpgrowthgeogroupgroupsinthesisminingmobilepatternsdmapspatial
(0)
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1Mining Travel Patterns from Geotagged Photos
Y. Zheng, Z. Zha, and T. Chua. ACM Transactions on Intelligent Systems and Technology (TIST), 3 (3): 56:1-56:18 (May 2012)
8 years ago by @becker
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citedby:scholar:count:91
citedby:scholar:timestamp:2017-2-3
diss
flickr
geo
inthesis
minin
pattern
photos
spatial
travel
citedby:scholar:count:91citedby:scholar:timestamp:2017-2-3dissflickrgeointhesismininpatternphotosspatialtravel
(0)
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2Mining trajectory patterns using hidden markov models
H. Jeung, H. Shen, and X. Zhou. page 470--480. Springer Berlin Heidelberg, Berlin, Heidelberg, (2007)
8 years ago by @becker
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diss
geo
hidden
inthesis
markov
mining
model
pattern
spatial
trajectory
dissgeohiddeninthesismarkovminingmodelpatternspatialtrajectory
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publications (hide)25
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2Discovering and characterizing mobility patterns in urban spaces: A study of Manhattan taxi data

1Inferring trip purposes and uncovering travel patterns from taxi trajectory data

1Spatiotemporal patterns of urban human mobility

1Diversity of individual mobility patterns and emergence of aggregated scaling laws

1Uncovering patterns of inter-urban trip and spatial interaction from social media check-in data

1Inferring human mobility using communication patterns

1Modelling human mobility patterns using photographic data shared online

2Sensing and Predicting the Pulse of the City through Shared Bicycling

1Mining smart card data for transit riders' travel patterns

1Natural Human Mobility Patterns and Spatial Spread of Infectious Diseases

1Seasonal and spatial mobility patterns of rose shrimp Aristeus antennatus in the Western Mediterranean: results of a long-term study

1Understanding individual mobility patterns from urban sensing data: A mobile phone trace example

2Analyzing and geo-visualizing individual human mobility patterns using mobile call records

1Towards a Taxonomy of Movement Patterns

3WhereNext: A location predictor on trajectory pattern mining

5Trajectory Pattern Mining

3Mining frequent spatio-temporal sequential patterns

2On Mining Group Patterns of Mobile Users

1Mining Travel Patterns from Geotagged Photos

2Mining trajectory patterns using hidden markov models

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