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Data mining, rough sets, and granular computing

Data mining, rough sets, and granular computing

Lin, Tsau Y. , 1937- Yao, Yiyu. Zadeh, Lotfi Asker.
서명 / 저자사항
Data mining, rough sets, and granular computing / Tsau Young Lin, Yiyu Y. Yao, Lotfi A. Zadeh, editors.
Heidelberg ;   New York :   Physica-Verlag,   c2002.  
ix, 536 p. : ill. ; 24 cm.
Studies in fuzziness and soft computing ; v. 95
Includes bibliographical references.
Data mining. Soft computing.
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040 ▼a DLC ▼c DLC ▼d OHX ▼d C#P ▼d 211009
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050 0 0 ▼a QA76.9.D343 ▼b D3837 2002
082 0 0 ▼a 006.3 ▼2 21
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245 0 0 ▼a Data mining, rough sets, and granular computing / ▼c Tsau Young Lin, Yiyu Y. Yao, Lotfi A. Zadeh, editors.
260 ▼a Heidelberg ; ▼a New York : ▼b Physica-Verlag, ▼c c2002.
300 ▼a ix, 536 p. : ▼b ill. ; ▼c 24 cm.
440 0 ▼a Studies in fuzziness and soft computing ; ▼v v. 95
504 ▼a Includes bibliographical references.
650 0 ▼a Data mining.
650 0 ▼a Soft computing.
700 1 ▼a Lin, Tsau Y. , ▼d 1937-
700 1 ▼a Yao, Yiyu.
700 1 ▼a Zadeh, Lotfi Asker.


No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 006.3 D2321 등록번호 111273495 도서상태 대출가능 반납예정일 예약 서비스 B M



1: Granular Computing - A New Paradigm.- Some Reflections on Information Granulation and its Centrality in Granular Computing, Computing with Words, the Computational Theory of Perceptions and Precisiated Natural Language.- 2: Granular Computing in Data Mining.- Data Mining Using Granular Computing: Fast Algorithms for Finding Association Rules.- Knowledge Discovery with Words Using Cartesian Granule Features: An Analysis for Classification Problems.- Validation of Concept Representation with Rule Induction and Linguistic Variables.- Granular Computing Using Information Tables.- A Query-Driven Interesting Rule Discovery Using Association and Spanning Operations.- 3: Data Mining.- An Interactive Visualization System for Mining Association Rules.- Algorithms for Mining System Audit Data.- Scoring and Ranking the Data Using Association Rules.- Finding Unexpected Patterns in Data.- Discovery of Approximate Knowledge in Medical Databases Based on Rough Set Model.- 4: Granular Computing.- Observability and the Case of Probability.- Granulation and Granularity via Conceptual Structures: A Perspective From the Point of View of Fuzzy Concept Lattices.- Granular Computing with Closeness and Negligibility Relations.- Application of Granularity Computing to Confirm Compliance with Non-Proliferation Treaty.- Basic Issues of Computing with Granular Probabilities.- Multi-dimensional Aggregation of Fuzzy Numbers Through the Extension Principle.- On Optimal Fuzzy Information Granulation.- Ordinal Decision Making with a Notion of Acceptable: Denoted Ordinal Scales.- A Framework for Building Intelligent Information-Processing Systems Based on Granular Factor Space.- 5: Rough Sets and Granular Computing.- GRS: A Generalized Rough Sets Model.- Structure of Upper and Lower Approximation Spaces of Infinite Sets.- Indexed Rough Approximations, A Polymodal System, and Generalized Possibility Measures.- Granularity, Multi-valued Logic, Bayes' Theorem and Rough Sets.- The Generic Rough Set Inductive Logic Programming (gRS-ILP) Model.- Possibilistic Data Analysis and Its Similarity to Rough Sets.

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