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» A Pattern Based Data Mining Approach
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130
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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 3 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
106
Voted
PREMI
2005
Springer
15 years 8 months ago
Biological Text Mining for Extraction of Proteins and Their Interactions
Text mining techniques have been proposed for extracting protein names and their interactions. First, we have made improvements on existing methods for handling single word protein...
Kiho Hong, Junhyung Park, Jihoon Yang, Sungyong Pa...
116
Voted
KDD
2003
ACM
149views Data Mining» more  KDD 2003»
16 years 3 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
131
Voted
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
15 years 12 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...
117
Voted
JMLR
2010
120views more  JMLR 2010»
14 years 9 months ago
Effective Wrapper-Filter hybridization through GRASP Schemata
Of all of the challenges which face the selection of relevant features for predictive data mining or pattern recognition modeling, the adaptation of computational intelligence tec...
Mohamed Amir Esseghir