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» Mining Closed Gradual Patterns
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89
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DKE
2007
105views more  DKE 2007»
14 years 9 months ago
On compressing frequent patterns
A major challenge in frequent-pattern mining is the sheer size of its mining results. To compress the frequent patterns, we propose to cluster frequent patterns with a tightness m...
Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng
81
Voted
ADMA
2009
Springer
186views Data Mining» more  ADMA 2009»
15 years 4 months ago
Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
Mining frequent sequential patterns from sequence databases has been a central research topic in data mining and various efficient mining sequential patterns algorithms have been p...
Yongxin Tong, Zhao Li, Dan Yu, Shilong Ma, Zhiyuan...
85
Voted
ADMA
2005
Springer
124views Data Mining» more  ADMA 2005»
14 years 11 months ago
Finding All Frequent Patterns Starting from the Closure
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
Mohammad El-Hajj, Osmar R. Zaïane
79
Voted
VLDB
2005
ACM
118views Database» more  VLDB 2005»
15 years 3 months ago
Mining Compressed Frequent-Pattern Sets
A major challenge in frequent-pattern mining is the sheer size of its mining results. In many cases, a high min sup threshold may discover only commonsense patterns but a low one ...
Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng
68
Voted
KES
2004
Springer
15 years 2 months ago
Mining Frequency Pattern from Mobile Users
Group pattern was introduced to find groups of mobile users associated by means of physical distance and amount of time spent together. This paper addresses the inherent problem of...
John Goh, David Taniar