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WWW
2005
ACM
14 years 10 months ago
Web log mining with adaptive support thresholds
With the fast increase in Web activities, Web data mining has recently become an important research topic. However, most previous studies of mining path traversal patterns are bas...
Jian Chih Ou, Chang-Hung Lee, Ming-Syan Chen
PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
14 years 23 days ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...
BIBM
2007
IEEE
159views Bioinformatics» more  BIBM 2007»
14 years 3 months ago
Predicting Future High-Cost Patients: A Real-World Risk Modeling Application
Health care data from patients in the Arizona Health Care Cost Containment System, Arizona’s Medicaid program, provides a unique opportunity to exploit state-of-the-art data pro...
Sai T. Moturu, William G. Johnson, Huan Liu
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 3 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
ICDM
2006
IEEE
122views Data Mining» more  ICDM 2006»
14 years 3 months ago
Optimal Segmentation Using Tree Models
Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunications. Many real-life sequences have a strong segmental str...
Robert Gwadera, Aristides Gionis, Heikki Mannila