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ICDE
2009
IEEE
290views Database» more  ICDE 2009»
14 years 10 months ago
GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases
Graphs are being increasingly used to model a wide range of scientific data. Such widespread usage of graphs has generated considerable interest in mining patterns from graph datab...
Sayan Ranu, Ambuj K. Singh
ACL
2009
13 years 6 months ago
Mining Association Language Patterns for Negative Life Event Classification
Negative life events, such as death of a family member, argument with a spouse and loss of a job, play an important role in triggering depressive episodes. Therefore, it is worth ...
Liang-Chih Yu, Chien-Lung Chan, Chung-Hsien Wu, Ch...
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 9 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
CORR
1998
Springer
79views Education» more  CORR 1998»
13 years 8 months ago
Linear Segmentation and Segment Significance
We present a new method for discovering a segmental discourse structure of a document while categorizing each segment's function and importance. Segments are determined by a ...
Min-Yen Kan, Judith L. Klavans, Kathleen McKeown
ICDE
2005
IEEE
118views Database» more  ICDE 2005»
14 years 10 months ago
Scrutinizing Frequent Pattern Discovery Performance
Benchmarking technical solutions is as important as the solutions themselves. Yet many fields still lack any type of rigorous evaluation. Performance benchmarking has always been ...
Mohammad El-Hajj, Osmar R. Zaïane, Stella Luk...