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» Compression-based data mining of sequential data
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ICDE
2005
IEEE
146views Database» more  ICDE 2005»
14 years 10 months ago
Mining Evolving Customer-Product Relationships in Multi-Dimensional Space
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships be...
Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin
PAMI
2006
127views more  PAMI 2006»
13 years 8 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
IWPC
2006
IEEE
14 years 2 months ago
Dynamic Analysis of Software Systems using Execution Pattern Mining
Software system analysis for extracting system functionality remains as a major problem in the reverse engineering literature and the early approaches mainly rely on static proper...
Hossein Safyallah, Kamran Sartipi
RSCTC
1998
Springer
175views Fuzzy Logic» more  RSCTC 1998»
14 years 25 days ago
Business Process Understanding: Mining Many Datasets
Abstract. Institutional databases can be instrumental in understanding a business process, but additional data may broaden the empirical perspective on the investigated process. We...
Jan M. Zytkow, Arun P. Sanjeev
PAKDD
2004
ACM
199views Data Mining» more  PAKDD 2004»
14 years 2 months 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...