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» Reasoning about Knowledge Using Rough Sets
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RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
RSCTC
2004
Springer
164views Fuzzy Logic» more  RSCTC 2004»
14 years 1 months ago
Rough Set Methodology in Clinical Practice: Controlled Hospital Trial of the MET System
Abstract. Acute abdominal pain in childhood is a common but diagnostically challenging problem facing Emergency Department personnel. Experienced physicians use a combination of ke...
Ken Farion, Wojtek Michalowski, Roman Slowinski, S...
CAINE
2009
13 years 5 months ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
RSCTC
2000
Springer
197views Fuzzy Logic» more  RSCTC 2000»
13 years 11 months ago
Rough Set Approach to CBR
We discuss how Case Based Reasoning (CBR) (see e.g. [1], [4]) philosophy of adaptation of some known situations to new similar ones can be realized in rough set framework [5] for c...
Jan Wierzbicki
IJCAI
1989
13 years 8 months ago
Reasoning About Assumptions in Graphs of Models
Solving design and analysis problems in physical worlds requires the representatio n of large amounts of knowledge. Recently, there has been much interest in explicitly making ass...
Sanjaya Addanki, Roberto Cremonini, J. Scott Penbe...