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PAKDD
2004
ACM
199views Data Mining» more  PAKDD 2004»
16 years 4 days ago
Temporal Sequence Associations for Rare Events
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
Jie Chen, Hongxing He, Graham J. Williams, Huidong...
PAKDD
2004
ACM
121views Data Mining» more  PAKDD 2004»
16 years 4 days ago
Secure Association Rule Sharing
Abstract. The sharing of association rules is often beneficial in industry, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal stra...
Stanley R. M. Oliveira, Osmar R. Zaïane, Y&uu...
PAKDD
2004
ACM
100views Data Mining» more  PAKDD 2004»
16 years 4 days ago
Using Self-Consistent Naive-Bayes to Detect Masquerades
To gain access to account privileges, an intruder masquerades as the proper account user. This paper proposes a new strategy for detecting masquerades in a multiuser system. To det...
Kwong H. Yung
ICDM
2003
IEEE
181views Data Mining» more  ICDM 2003»
16 years 1 days ago
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
Jeremy Z. Kolter, Marcus A. Maloof
ICDM
2002
IEEE
105views Data Mining» more  ICDM 2002»
15 years 11 months ago
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing
We empirically evaluate the performance of various reinforcement learning methods in applications to sequential targeted marketing. In particular, we propose and evaluate a progre...
Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bian...
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