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KDD
2006
ACM
201views Data Mining» more  KDD 2006»
16 years 7 months ago
Polynomial association rules with applications to logistic regression
A new class of associations (polynomial itemsets and polynomial association rules) is presented which allows for discovering nonlinear relationships between numeric attributes wit...
Szymon Jaroszewicz
KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 7 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho
KDD
2005
ACM
146views Data Mining» more  KDD 2005»
16 years 7 months ago
Anonymity-preserving data collection
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 7 months ago
Dense itemsets
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
Heikki Mannila, Jouni K. Seppänen
SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
16 years 3 months ago
The Metric Dilemma: Competence-Conscious Associative Classification.
Adriano Veloso, Mohammed Javeed Zaki, Wagner Meira...