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Transactions on Rough Sets XI/ James F. Peters and Andrzej Skowron eds.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 5946Publication details: Berlin: Springer, 2010Description: 189pISBN:
  • 9783642114786
Subject(s): DDC classification:
  • 23 511.322 P481
Contents:
Mining numerical data - A Rough Sets approach -- Definability and other peoperties of approximations for generalized indiscernibility relations -- Variable consistency bagging ensembles -- Classical and dominance- based Rough Sets in the search for genes under balancing selection -- Satisfiability judgement under incomplet information -- Irreducible descriptive Sets of attributes for information systems -- Computational theory perception (CTP), Rough Fuzzy uncertainty analysis and mining in Bioinformatics and web intelligence: A unified framework -- Decision rule-based data models using TRS and nrtTRS - methods and algorithms -- A distributed decision rules calculation using apriori algorithm -- Decision table reduction IN KDD: Fuzzy Rough based approach
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Holdings
Item type Current library Call number Status Notes Date due Barcode Item holds
Books ISI Library, Kolkata 511.322 P481 (Browse shelf(Opens below)) Available Gifted by Prof Sankar Kumar Pal (CSCR) C27214
Total holds: 0

Mining numerical data - A Rough Sets approach -- Definability and other peoperties of approximations for generalized indiscernibility relations -- Variable consistency bagging ensembles -- Classical and dominance- based Rough Sets in the search for genes under balancing selection -- Satisfiability judgement under incomplet information -- Irreducible descriptive Sets of attributes for information systems -- Computational theory perception (CTP), Rough Fuzzy uncertainty analysis and mining in Bioinformatics and web intelligence: A unified framework -- Decision rule-based data models using TRS and nrtTRS - methods and algorithms -- A distributed decision rules calculation using apriori algorithm -- Decision table reduction IN KDD: Fuzzy Rough based approach

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