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JCP
2006
139views more  JCP 2006»
14 years 11 months ago
Generalized Sequential Pattern Mining with Item Intervals
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Yu Hirate, Hayato Yamana
ICDE
2008
IEEE
192views Database» more  ICDE 2008»
16 years 29 days ago
Verifying and Mining Frequent Patterns from Large Windows over Data Streams
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
Barzan Mozafari, Hetal Thakkar, Carlo Zaniolo
IPPS
2006
IEEE
15 years 5 months ago
Tree partition based parallel frequent pattern mining on shared memory systems
In this paper, we present a tree-partition algorithm for parallel mining of frequent patterns. Our work is based on FP-Growth algorithm, which is constituted of tree-building stag...
Dehao Chen, Chunrong Lai, Wei Hu, Wenguang Chen, Y...
ICWE
2004
Springer
15 years 5 months ago
Behaviour Recovery and Complicated Pattern Definition in Web Usage Mining
Data mining includes four steps: data preparation, pattern mining, and pattern analysis and pattern application. But in web environment, the user activities become much more comple...
Long Wang 0002, Christoph Meinel
KDD
2008
ACM
239views Data Mining» more  KDD 2008»
16 years 15 hour ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà