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RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
15 years 11 months ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang
BMCBI
2006
102views more  BMCBI 2006»
15 years 6 months ago
Prediction of protein structural class with Rough Sets
Background: A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compos...
Youfang Cao, Shi Liu, Lida Zhang, Jie Qin, Jiang W...
VMCAI
2007
Springer
16 years 1 days ago
Constructing Specialized Shape Analyses for Uniform Change
Abstract. This paper is concerned with one of the basic problems in abstract interpretation, namely, for a given abstraction and a given set of concrete transformers (that express ...
Tal Lev-Ami, Mooly Sagiv, Neil Immerman, Thomas W....
KDD
2008
ACM
110views Data Mining» more  KDD 2008»
16 years 6 months ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...
PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
15 years 10 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...