tag :: rules association

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6Efficient Mining of Association Rules Based on Formal Concept Analysis
L. Lakhal, and G. Stumme. Formal Concept Analysis, volume 3626 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2005)
10 years ago by @sdo
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association
fca
literature
rules
survey
associationfcaliteraturerulessurvey
(0)
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4Discovery, analysis and presentation of strong rules
G. Piatetsky-Shapiro. Knowledge Discovery in Databases, AAAI Press, (1991)
10 years ago by @likhitha.pv
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association
rules
associationrules
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22Mining association rules between sets of items in large databases
R. Agrawal, T. Imielinski, and A. Swami. SIGMOD '93: Proceedings of the 1993 ACM SIGMOD international conference on Management of data, page 207--216. New York, NY, USA, ACM Press, (1993)
11 years ago by @nosebrain
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association
item
mining
rules
sets
associationitemminingrulessets
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1Investigate the Performance of Document Clustering Approach Based on Association Rules Mining
P. Noha Negm Mohamed Amin. International Journal of Advanced Computer Science and Applications(IJACSA), (2013)
11 years ago by @thesaiorg
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Apriori
Association
Clustering;
Data
Discovery;
Document
Documents;
Frequent
Knowledge
Mining
Mining;
Rules
Text
Web
algorithm;
termsets;
AprioriAssociationClustering;DataDiscovery;DocumentDocuments;FrequentKnowledgeMiningMining;RulesTextWebalgorithm;termsets;
(0)
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1Sequential event prediction with association rules
C. Rudin, B. Letham, A. Salleb-Aouissi, E. Kogan, and D. Madigan. (2011)
11 years ago by @folke
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association
bayesian
beta
prior
rules
shrinkate
associationbayesianbetapriorrulesshrinkate
(0)
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10Mining generalized association rules
R. Srikant, and R. Agrawal. IBM Research Division, (1995)
12 years ago by @thoni
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association
data
lecture
mining
r-interesting
rules
wuerzburg
associationdatalectureminingr-interestingruleswuerzburg
(1)
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2Learning to rank at query-time using association rules
A. Veloso, H. de Almeida, M. Gonçalves, and W. Jr.. SIGIR, page 267-274. ACM, (2008)
12 years ago by @nosebrain
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association
learning
ranking
rules
associationlearningrankingrules
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18Fast algorithms for mining association rules in large databases
R. Agrawal, and R. Srikant. Proceedings of the 20th international conference on Very Large Data Bases (VLDB'94), page 478--499. Morgan Kaufmann, (September 1994)
12 years ago by @folke
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algorithms
apriori
association
data
mining
rule
rules
algorithmsaprioriassociationdataminingrulerules
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15Knowledge Discovery in Databases: Techniken und Anwendungen
M. Ester, and J. Sander. Springer Berlin Heidelberg, 1 edition, (2000)
13 years ago by @khilgenberg
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2011
association
bible
classification
clustering
database
discovery
kde
knowledge
rules
seminar
twitter
2011associationbibleclassificationclusteringdatabasediscoverykdeknowledgerulesseminartwitter
(0)
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15Knowledge Discovery in Databases: Techniken und Anwendungen
M. Ester, and J. Sander. Springer Berlin Heidelberg, 1 edition, (2000)
13 years ago by @nosebrain
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association
bible
classification
clustering
database
discovery
knowledge
lecture:2015
lecture:data-mining
lecture:essential
rules
associationbibleclassificationclusteringdatabasediscoveryknowledgelecture:2015lecture:data-mininglecture:essentialrules
(0)
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12Das Entstehen von Semantik in BibSonomy
A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. Social Software in der Wertschöpfung, Baden-Baden, Nomos, (2006)
14 years ago by @dbenz
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2006
BibSonomy
UniK
association
bibsonomy
emergentsemantics_evidence
folkrank
folksonomies
folksonomy
hotho
jaeschke
nepomuk
ol_web2.0
pagerank
rules
schmitz
semantics
semantik
stumme
tagging
taggingsurvey
tagora
tagorapub
tags
2006BibSonomyUniKassociationbibsonomyemergentsemantics_evidencefolkrankfolksonomiesfolksonomyhothojaeschkenepomukol_web2.0pagerankrulesschmitzsemanticssemantikstummetaggingtaggingsurveytagoratagorapubtags
(0)
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2Outlier Detection for Transaction Databases Using Association Rules
K. Narita, and H. Kitagawa. (2008)
14 years ago by @michaelkamp
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association
detection
outlier
rules
associationdetectionoutlierrules
(0)
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2A New Strategy of Query Expansion using Formal Concept Analysis.
Y. Hai, Y. Du, and H. Li. CIT, page 34. IEEE Computer Society, (2006)
15 years ago by @obj
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applications
association
fca
information
query
retrieval
rules
web
applicationsassociationfcainformationqueryretrievalrulesweb
(0)
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2Strategy for mining association rules for web pages based on formal concept analysis
Y. Du, and H. Li. Appl. Soft Comput., 10 (3): 772--783 (2010)
15 years ago by @obj
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association
fca
mining
rules
web
associationfcaminingrulesweb
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1The Rule Extraction of Fault Classification Based on Formal Concept Analysis
C. Zhou. WCSE '09: Proceedings of the 2009 WRI World Congress on Software Engineering, page 155--159. Washington, DC, USA, IEEE Computer Society, (2009)
15 years ago by @obj
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association
fca
mining
rules
associationfcaminingrules
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3Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis
G. Stumme, R. Taouil, Y. Bastide, N. Pasquier, and L. Lakhal. KI 2001: Advances in Artificial Intelligence. Proc. KI 2001, page 335-350. Springer, Heidelberg, (2001)
15 years ago by @obj
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association
closed
fca
itemset
mining
rules
associationclosedfcaitemsetminingrules
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4Intelligent Structuring and Reducing of Association Rules and with Formal Concept Analysis
G. Stumme, R. Taouil, Y. Bastide, N. Pasquier, and L. Lakhal. KI 2001: Advances in Artificial Intelligence. KI 2001, volume 2174 of LNAI, page 335-350. Heidelberg, Springer, (2001)
15 years ago by @stumme
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2001
FCA
OntologyHandbook
analysis
association
bases
closed
concept
condensed
discovery
fca
formal
itemsets
kdd
knowledge
mining
myown
representations
rule
rules
2001FCAOntologyHandbookanalysisassociationbasesclosedconceptcondenseddiscoveryfcaformalitemsetskddknowledgeminingmyownrepresentationsrulerules
(0)
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4Mining Frequent Patterns with Counting Inference.
Y. Bastide, R. Taouil, N. Pasquier, G. Stumme, and L. Lakhal. SIGKDD Explorations, Special Issue on Scalable Algorithms, 2 (2): 71-80 (2000)
16 years ago by @stumme
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2000
FCA
OntologyHandbook
analys
association
closed
concept
condensed
data
discovery
fca
formal
frequent
itemsets
kdd
knowledge
mining
myown
representation
representations
rule
rules
2000FCAOntologyHandbookanalysassociationclosedconceptcondenseddatadiscoveryfcaformalfrequentitemsetskddknowledgeminingmyownrepresentationrepresentationsrulerules
(0)
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6Mining Minimal Non-Redundant Association Rules Using Frequent Closed Itemsets
Y. Bastide, N. Pasquier, R. Taouil, G. Stumme, and L. Lakhal. Computational Logic --- CL 2000 Proc. CL'00, volume 1861 of LNAI, Heidelberg, Springer, (2000)
16 years ago by @stumme
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2000
analys
association
closed
concept
condensed
data
discovery
fca
formal
frequent
itemsets
kdd
knowledge
mining
myown
representation
representations
rule
rules
2000analysassociationclosedconceptcondenseddatadiscoveryfcaformalfrequentitemsetskddknowledgeminingmyownrepresentationrepresentationsrulerules
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7Efficient Data Mining Based on Formal Concept Analysis
G. Stumme. Database and Expert Systems Applications. Proc. DEXA 2002, volume 2453 of LNCS, page 534-546. Heidelberg, Springer, (2002)
16 years ago by @stumme
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2002
association
closed
condensed
data
discovery
fca
itemsets
kdd
knowledge
mining
myown
representations
rules
2002associationclosedcondenseddatadiscoveryfcaitemsetskddknowledgeminingmyownrepresentationsrules
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1(WO/2006/116196) MEDIA OBJECT METADATA ASSOCIATION AND RANKING

publications (hide)73
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6Efficient Mining of Association Rules Based on Formal Concept Analysis

4Discovery, analysis and presentation of strong rules

22Mining association rules between sets of items in large databases

1Investigate the Performance of Document Clustering Approach Based on Association Rules Mining

1Sequential event prediction with association rules

10Mining generalized association rules

2Learning to rank at query-time using association rules

18Fast algorithms for mining association rules in large databases

15Knowledge Discovery in Databases: Techniken und Anwendungen

15Knowledge Discovery in Databases: Techniken und Anwendungen

12Das Entstehen von Semantik in BibSonomy

2Outlier Detection for Transaction Databases Using Association Rules

2A New Strategy of Query Expansion using Formal Concept Analysis.

2Strategy for mining association rules for web pages based on formal concept analysis

1The Rule Extraction of Fault Classification Based on Formal Concept Analysis

3Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis

4Intelligent Structuring and Reducing of Association Rules and with Formal Concept Analysis

4Mining Frequent Patterns with Counting Inference.

6Mining Minimal Non-Redundant Association Rules Using Frequent Closed Itemsets

7Efficient Data Mining Based on Formal Concept Analysis

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