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PKDD
2005
Springer
138views Data Mining» more  PKDD 2005»
14 years 1 months ago
Indexed Bit Map (IBM) for Mining Frequent Sequences
Sequential pattern mining has been an emerging problem in data mining. In this paper, we propose a new algorithm for mining frequent sequences. It processes only one scan of the da...
Lionel Savary, Karine Zeitouni
JIPS
2010
154views more  JIPS 2010»
13 years 2 months ago
Mining Spatio-Temporal Patterns in Trajectory Data
Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approac...
Juyoung Kang 0002, Hwan-Seung Yong
CIB
2004
57views more  CIB 2004»
13 years 7 months ago
Identifying Global Exceptional Patterns in Multi-database Mining
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Z...
DEXA
2005
Springer
160views Database» more  DEXA 2005»
14 years 1 months ago
Improved Sequential Pattern Mining Using an Extended Bitmap Representation
The main challenge of mining sequential patterns is the high processing cost of support counting for large amount of candidate patterns. For solving this problem, SPAM algorithm wa...
Chien-Liang Wu, Jia-Ling Koh, Pao-Ying An
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
14 years 8 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan