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KDD
2006
ACM
173views Data Mining» more  KDD 2006»
16 years 7 months ago
BLOSOM: a framework for mining arbitrary boolean expressions
We introduce a novel framework (BLOSOM) for mining (frequent) boolean expressions over binary-valued datasets. We organize the space of boolean expressions into four categories: p...
Lizhuang Zhao, Mohammed J. Zaki, Naren Ramakrishna...
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
16 years 7 months ago
Mining unexpected rules by pushing user dynamics
Unexpected rules are interesting because they are either previously unknown or deviate from what prior user knowledge would suggest. In this paper, we study three important issues...
Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan
KDD
2001
ACM
237views Data Mining» more  KDD 2001»
16 years 7 months ago
Exploiting Web Log Mining for Web Cache Enhancement
Abstract. Improving the performance of the Web is a crucial requirement, since its popularity resulted in a large increase in the user perceived latency. In this paper, we describe...
Alexandros Nanopoulos, Dimitrios Katsaros, Yannis ...
SIGMOD
2008
ACM
136views Database» more  SIGMOD 2008»
16 years 7 months ago
Mining relationships among interval-based events for classification
Existing temporal pattern mining assumes that events do not have any duration. However, events in many real world applications have durations, and the relationships among these ev...
Dhaval Patel, Wynne Hsu, Mong-Li Lee
ISDA
2008
IEEE
16 years 1 months ago
Novel Algorithms for Privacy Preserving Utility Mining
Privacy Preserving Data Mining (PPDM) has become a popular topic in the research community. How to strike a balance between privacy protection and knowledge discovery in the shari...
Jieh-Shan Yeh, Po-Chiang Hsu, Ming-Hsun Wen