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» Frequent pattern mining for kernel trace data
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CIS
2005
Springer
14 years 28 days ago
An Improved EMASK Algorithm for Privacy-Preserving Frequent Pattern Mining
Abstract. As a novel research direction, privacy-preserving data mining (PPDM) has received a great deal of attentions from more and more researchers, and a large number of PPDM al...
Congfu Xu, Jinlong Wang, Hongwei Dan, Yunhe Pan
KDD
2010
ACM
232views Data Mining» more  KDD 2010»
13 years 11 months ago
Discovering frequent patterns in sensitive data
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
CORR
2010
Springer
112views Education» more  CORR 2010»
13 years 7 months ago
On Finding Frequent Patterns in Event Sequences
Given a directed acyclic graph with labeled vertices, we consider the problem of finding the most common label sequences ("traces") among all paths in the graph (of some...
Andrea Campagna, Rasmus Pagh
KDD
2006
ACM
139views Data Mining» more  KDD 2006»
14 years 7 months ago
Generating semantic annotations for frequent patterns with context analysis
As a fundamental data mining task, frequent pattern mining has widespread applications in many different domains. Research in frequent pattern mining has so far mostly focused on ...
Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, Che...