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IJAR
2011
118views more  IJAR 2011»
14 years 8 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo
ACL
2008
15 years 6 months ago
Mining Wikipedia Revision Histories for Improving Sentence Compression
A well-recognized limitation of research on supervised sentence compression is the dearth of available training data. We propose a new and bountiful resource for such training dat...
Elif Yamangil, Rani Nelken
IADIS
2004
15 years 6 months ago
Mining Relaxed Graph Properties in Internet
Many real world datasets are represented in the form of graphs. The classical graph properties found in the data, like cliques or independent sets, can reveal new interesting info...
Wilhelmiina Hämäläinen, Hannu Toivo...
ICDE
2006
IEEE
222views Database» more  ICDE 2006»
16 years 6 months ago
CLAN: An Algorithm for Mining Closed Cliques from Large Dense Graph Databases
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
Jianyong Wang, Zhiping Zeng, Lizhu Zhou
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
16 years 2 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...