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» Association rules mining using heavy itemsets
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PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
14 years 4 months ago
Mining Negative Rules Using GRD
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
Dhananjay R. Thiruvady, Geoffrey I. Webb
ICCS
2003
Springer
14 years 4 months ago
A Compress-Based Association Mining Algorithm for Large Dataset
The association mining is one of the primary sub-areas in the field of data mining. This technique had been used in numerous practical applications, including consumer market baske...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
MLDM
2007
Springer
14 years 5 months ago
A Novel Rule Ordering Approach in Classification Association Rule Mining
A Classification Association Rule (CAR), a common type of mined knowledge in Data Mining, describes an implicative co-occurring relationship between a set of binary-valued data-att...
Yanbo J. Wang, Qin Xin, Frans Coenen
ICSE
2009
IEEE-ACM
14 years 6 months ago
Mining exception-handling rules as sequence association rules
Programming languages such as Java and C++ provide exception-handling constructs to handle exception conditions. Applications are expected to handle these exception conditions and...
Suresh Thummalapenta, Tao Xie
ADMA
2008
Springer
186views Data Mining» more  ADMA 2008»
14 years 5 months ago
A Distributed Privacy-Preserving Association Rules Mining Scheme Using Frequent-Pattern Tree
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
Chunhua Su, Kouichi Sakurai