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» Reducing the Frequent Pattern Set
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ICDM
2005
IEEE
149views Data Mining» more  ICDM 2005»
14 years 1 months ago
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results
Spatial co-location patterns represent the subsets of features whose instances are frequently located together in geographic space. Co-location pattern discovery presents challeng...
Jin Soung Yoo, Shashi Shekhar, Mete Celik
PKDD
2010
Springer
155views Data Mining» more  PKDD 2010»
13 years 6 months ago
Latent Structure Pattern Mining
Pattern mining methods for graph data have largely been restricted to ground features, such as frequent or correlated subgraphs. Kazius et al. have demonstrated the use of elaborat...
Andreas Maunz, Christoph Helma, Tobias Cramer, Ste...
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don
CHI
1997
ACM
14 years 4 days ago
Revisitation Patterns in World Wide Web Navigation
In this paper, we report on users' revisitation patterns to World Wide Web (WWW) pages, and use the results to lay an empirical foundation for the design of history mechanism...
Linda Tauscher, Saul Greenberg
ADMA
2009
Springer
186views Data Mining» more  ADMA 2009»
14 years 2 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...