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KDD
2008
ACM
104views Data Mining» more  KDD 2008»
15 years 10 months ago
Succinct summarization of transactional databases: an overlapped hyperrectangle scheme
Transactional data are ubiquitous. Several methods, including frequent itemsets mining and co-clustering, have been proposed to analyze transactional databases. In this work, we p...
Yang Xiang, Ruoming Jin, David Fuhry, Feodor F. Dr...
ICDE
2008
IEEE
154views Database» more  ICDE 2008»
15 years 11 months ago
Butterfly: Protecting Output Privacy in Stream Mining
Abstract-- Privacy preservation in data mining demands protecting both input and output privacy. The former refers to sanitizing the raw data itself before performing mining. The l...
Ting Wang, Ling Liu
JIPS
2010
154views more  JIPS 2010»
14 years 4 months ago
Mining Spatio-Temporal Patterns in Trajectory Data
Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approac...
Juyoung Kang 0002, Hwan-Seung Yong
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
15 years 10 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
15 years 10 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White