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» Mining for Useful Association Rules Using the ATMS
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TSE
2010
148views more  TSE 2010»
13 years 6 months ago
Program Behavior Discovery and Verification: A Graph Grammar Approach
—Discovering program behaviors and functionalities can ease program comprehension and verification. Existing program analysis approaches have used text mining algorithms to infer...
Chunying Zhao, Jun Kong, Kang Zhang
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 5 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
BIS
2007
173views Business» more  BIS 2007»
13 years 9 months ago
Natural Language Technology for Information Integration in Business Intelligence
Business intelligence requires the collecting and merging of information from many different sources, both structured and unstructured, in order to analyse for example financial ...
Diana Maynard, Horacio Saggion, Milena Yankova, Ka...
ICCBR
2009
Springer
14 years 2 months ago
A Value Supplementation Method for Case Bases with Incomplete Information
Abstract. In this paper we present a method for supplementing incomplete cases with information from other cases within a case base. The acquisition of complete and correct cases i...
Kerstin Bach, Meike Reichle, Klaus-Dieter Althoff
BMCBI
2011
13 years 2 months ago
Hierarchical graphs for rule-based modeling of biochemical systems
Background: In rule-based modeling, graphs are used to represent molecules: a colored vertex represents a component of a molecule, a vertex attribute represents the internal state...
Nathan W. Lemons, Bin Hu, William S. Hlavacek