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SAC
2010
ACM
15 years 1 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
16 years 6 months ago
Mining significant graph patterns by leap search
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu
IEAAIE
2009
Springer
16 years 27 days ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin
KDD
2004
ACM
143views Data Mining» more  KDD 2004»
16 years 6 months ago
Incremental maintenance of quotient cube for median
Data cube pre-computation is an important concept for supporting OLAP(Online Analytical Processing) and has been studied extensively. It is often not feasible to compute a complet...
Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wan...
SIGMOD
2003
ACM
209views Database» more  SIGMOD 2003»
16 years 6 months ago
Distributed Top-K Monitoring
The querying and analysis of data streams has been a topic of much recent interest, motivated by applications from the fields of networking, web usage analysis, sensor instrumenta...
Brian Babcock, Chris Olston