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ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
15 years 6 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...
109
Voted
KDD
2006
ACM
183views Data Mining» more  KDD 2006»
16 years 1 months ago
Discovering interesting patterns through user's interactive feedback
In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han
94
Voted
ICDM
2007
IEEE
96views Data Mining» more  ICDM 2007»
15 years 7 months ago
The Chosen Few: On Identifying Valuable Patterns
Constrained pattern mining extracts patterns based on their individual merit. Usually this results in far more patterns than a human expert or a machine learning technique could m...
Björn Bringmann, Albrecht Zimmermann
95
Voted
EUROPAR
2001
Springer
15 years 5 months ago
Parallel Tree Projection Algorithm for Sequence Mining
Discovery of sequential patterns is becoming increasingly useful and essential in many scienti c and commercial domains. Enormous sizes of available datasets and possibly large nu...
Valerie Guralnik, Nivea Garg, George Karypis
86
Voted
COMPSAC
2005
IEEE
15 years 2 months ago
A Novel Method for Protecting Sensitive Knowledge in Association Rules Mining
Discovering frequent patterns from huge amounts of data is one of the most studied problems in data mining. However, some sensitive patterns with security policies may cause a thr...
En Tzu Wang, Guanling Lee, Yu Tzu Lin