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» On the Complexity of Mining Association Rules
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106
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ADVIS
2004
Springer
15 years 3 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...
MLDM
2007
Springer
15 years 3 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
79
Voted
ICSE
2009
IEEE-ACM
15 years 4 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
MLDM
2008
Springer
14 years 9 months ago
Hybrid Rule Ordering in Classification Association Rule Mining
Yanbo J. Wang, Qin Xin, Frans Coenen
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 3 months ago
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
Yongge Wang, Xintao Wu