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Data Mining, Rough Sets and Granular Computing
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ISBN: 9783790814613

During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par ticularly true in the realm of e-com… More...

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Data Mining, Rough Sets and Granular Computing
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During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par­ ticularly true in the realm of e-co… More...

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Data Mining, Rough Sets and Granular Computing - Lin, Tsau Young (Herausgeber); Zadeh, Lotfi A. (Herausgeber); Yao, Yiyu Y. (Herausgeber)
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Lin, Tsau Young (Herausgeber); Zadeh, Lotfi A. (Herausgeber); Yao, Yiyu Y. (Herausgeber):
Data Mining, Rough Sets and Granular Computing - hardcover

2002

ISBN: 379081461X

2002 Gebundene Ausgabe Datenbanken, extension; Scoring; approximation; calculus; classification; dataanalysis; datamining; fuzzysets; knowledgediscovery; logic; logicprogramming; natura… More...

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Data Mining Rough Sets and Granular Computing
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2002, ISBN: 9783790814613

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Data Mining Rough Sets and Granular Computing
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2002, ISBN: 379081461X

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Details of the book
Data Mining Rough Sets and Granular Computing
Author:
Title:
ISBN:

9783790814613


This volume is the result of a two-year project aimed at coalescing the concepts and techniques of granular computing on one side, and rough set theory on another. It consists of a collection of up-to-date and authoritative expositions of the basic theories underlying data mining, granular computing and rough set theory, and stresses their wide-ranging applications. A principal aim of the work is to stimulate an exploration of ways in which progress in data mining can be enhanced through integration with granular computing and rough set theory.

Details of the book - Data Mining Rough Sets and Granular Computing


EAN (ISBN-13): 9783790814613
ISBN (ISBN-10): 379081461X
Hardcover
Paperback
Publishing year: 2002
Publisher: Physica-Verlag HD
548 Pages
Weight: 0,976 kg
Language: eng/Englisch

Book in our database since 2007-10-25T13:54:40+01:00 (London)
Detail page last modified on 2024-03-10T15:06:32+00:00 (London)
ISBN/EAN: 9783790814613

ISBN - alternate spelling:
3-7908-1461-X, 978-3-7908-1461-3
Alternate spelling and related search-keywords:
Book author: zadeh, lotfi, zade
Book title: data mining, soft computing, soft oft

Information from Publisher

Author: Tsau Young Lin; Yiyu Y. Yao; Lotfi A. Zadeh
Title: Studies in Fuzziness and Soft Computing; Data Mining, Rough Sets and Granular Computing
Publisher: Physica; Physica
537 Pages
Publishing year: 2002-04-10
Heidelberg; DE
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
Available
IX, 537 p.

BB; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Extension; Scoring; approximation; calculus; classification; data analysis; data mining; fuzzy sets; knowledge discovery; logic; logic programming; natural language; perception; programming; visualization; Artificial Intelligence; Database Management; Datenbanken; EA; BC

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 ApproximationSpaces 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.
The book integrates data mining, rough sets and granular computing Includes supplementary material: sn.pub/extras
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