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Partial Covers, Reducts and Decision Rules in Rough Sets - Mikhail Ju. Moshkov
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Mikhail Ju. Moshkov:
Partial Covers, Reducts and Decision Rules in Rough Sets - nouveau livre

2009, ISBN: 9783540690276

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - This monograph is devoted to theoretical and experimental study of partial reductsandpartialdecisionrulesonthebasisofthestudyofpartialcovers. The use of partial (approximate) reducts and decision rules instead of exact ones allowsustoobtainmorecompactdescriptionofknowledgecontainedindecision tables,andtodesignmorepreciseclassi ers. Weconsideralgorithmsforconstructionofpartialreductsandpartialdecision rules,boundsonminimalcomplexityofpartialreductsanddecisionrules,and algorithms for construction of the set of all partial reducts and the set of all irreducible partial decision rules. We discuss results of numerous experiments with randomly generated and real-life decision tables. These results show that partial reducts and decision rules can be used in data mining and knowledge discoverybothforknowledgerepresentationandforprediction. Theresultsobtainedinthe monographcanbe usefulforresearchersinsuch areasasmachinelearning,dataminingandknowledgediscovery,especiallyfor thosewhoareworkinginroughsettheory,testtheoryandLAD(LogicalAnalysis ofData). The monographcan be usedunder the creationofcoursesforgraduates- dentsandforPh. D. studies. An essential part of software used in experiments will be accessible soon in RSES-RoughSetExplorationSystem(InstituteofMathematics,WarsawU- versity,headofproject-ProfessorAndrzejSkowron). We are greatly indebted to Professor Andrzej Skowron for stimulated d- cussionsand varioussupportof ourwork. We aregratefulto ProfessorJanusz Kacprzykforhelpfulsuggestions. Sosnowiec,Poland MikhailJu. Moshkov April2008 MarcinPiliszczuk BeataZielosko Contents Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1 PartialCovers,ReductsandDecisionRules . . . . . . . . . . . . . . . . 7 1. 1 PartialCovers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1. 1. 1 MainNotions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1. 1. 2 Known Results. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1. 1. 3 PolynomialApproximateAlgorithms. . . . . . . . . . . . . . . . . . 10 1. 1. 4 Bounds on C ( )Based on Information about min GreedyAlgorithm Work. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1. 1. 5 UpperBoundon C ( ). . . . . . . . . . . . . . . . . . . . . . . . . . 17 greedy 1. 1. 6 Covers fortheMostPartofSetCoverProblems. . . . . . . . 18 1. 2 PartialTests and Reducts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1. 2. 1 MainNotions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1. 2. 2Relationships betweenPartialCovers and Partial Tests. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 1. 2. 3 PrecisionofGreedyAlgorithm. . . . . . . . . . . . . . . . . . . . . . . 24 1. 2. 4 PolynomialApproximateAlgorithms. . . . . . . . . . . . . . . . . . 25 1. 2. 5 Bounds on R ( )Based on Information about min GreedyAlgorithm Work. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1. 2. 6 UpperBoundon R ( ). . . . . . . . . . . . . . . . . . . . . . . . . . 28 greedy 1. 2. 7 Tests fortheMostPartofBinaryDecisionTables. . . . . . 29 1. 3 PartialDecision Rules. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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Partial Covers, Reducts and Decision Rules in Rough Sets: Theory and Applications - Mikhail Ju. Moshkov, Marcin Piliszczuk, Beata Zielosko
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Mikhail Ju. Moshkov, Marcin Piliszczuk, Beata Zielosko:
Partial Covers, Reducts and Decision Rules in Rough Sets: Theory and Applications - nouveau livre

ISBN: 9783540690276

ID: 978354069027

This monograph is devoted to theoretical and experimental study of partial reducts and partial decision rules on the basis of the study of partial covers. The use of partial (approximate) reducts and decision rules instead of exact ones allows us to obtain more compact description of knowledge contained in decision tables, and to design more precise classifiers. Algorithms for construction of partial reducts and partial decision rules, bounds on minimal complexity of partial reducts and decision rules, and algorithms for construction of the set of all partial reducts and the set of all irreducible partial decision rules are considered. The book includes a discussion on the results of numerous experiments with randomly generated and real-life decision tables. These results show that partial reducts and decision rules can be used in data mining and knowledge discovery both for knowledge representation and for prediction.The results obtained in the monograph can be useful for researchers in such areas as machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, test theory and LAD (Logical Analysis of Data). The monograph can be used under the creation of courses for graduate students and for Ph.D. studies. Mikhail Ju. Moshkov, Marcin Piliszczuk, Beata Zielosko, Books, Computers, Partial Covers, Reducts and Decision Rules in Rough Sets: Theory and Applications Books>Computers, Springer Berlin Heidelberg

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Partial Covers, Reducts and Decision Rules in Rough Sets - Mikhail Ju. Moshkov
Livre non disponible
(*)
Mikhail Ju. Moshkov:
Partial Covers, Reducts and Decision Rules in Rough Sets - nouveau livre

ISBN: 9783540690276

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - This monograph is devoted to theoretical and experimental study of partial reducts and partial decision rules on the basis of the study of partial covers. The use of partial (approximate) reducts and decision rules instead of exact ones allows us to obtain more compact description of knowledge contained in decision tables, and to design more precise classifiers. Algorithms for construction of partial reducts and partial decision rules, bounds on minimal complexity of partial reducts and decision rules, and algorithms for construction of the set of all partial reducts and the set of all irreducible partial decision rules are considered. The book includes a discussion on the results of numerous experiments with randomly generated and real-life decision tables. These results show that partial reducts and decision rules can be used in data mining and knowledge discovery both for knowledge representation and for prediction. The results obtained in the monograph can be useful for researchers in such areas as machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, test theory and LAD (Logical Analysis of Data). The monograph can be used under the creation of courses for graduate students and for Ph.D. studies. -, [SC: 0.00]

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Partial Covers, Reducts and Decision Rules in Rough Sets Theory and Applications - Moshkov, Mikhail Ju.; Piliszczuk, Marcin; Zielosko, Beata
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Moshkov, Mikhail Ju.; Piliszczuk, Marcin; Zielosko, Beata:
Partial Covers, Reducts and Decision Rules in Rough Sets Theory and Applications - edition reliée, livre de poche

2009, ISBN: 3540690271

ID: A5881245

Gebundene Ausgabe Fuzzy Logik - Fuzzy Set, Fuzzy Set ( Fuzzy Logik ), COMPUTERS / Intelligence (AI) & Semantics, MATHEMATICS / Applied, Mathematik für Ingenieure, Neuronale Netze und Fuzzysysteme, mit Schutzumschlag neu, [PU:Springer-Verlag GmbH; Springer Berlin]

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Partial Covers, Reducts and Decision Rules in Rough Sets Theory and Applications - Moshkov, Mikhail Ju.; Piliszczuk, Marcin; Zielosko, Beata
Livre non disponible
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Moshkov, Mikhail Ju.; Piliszczuk, Marcin; Zielosko, Beata:
Partial Covers, Reducts and Decision Rules in Rough Sets Theory and Applications - edition reliée, livre de poche

2009, ISBN: 3540690271

ID: A5881245

Gebundene Ausgabe Fuzzy Logik - Fuzzy Set, Fuzzy Set ( Fuzzy Logik ), COMPUTERS / Intelligence (AI) & Semantics, MATHEMATICS / Applied, mit Schutzumschlag neu, [PU:Springer-Verlag GmbH]

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Détails sur le livre
Partial Covers, Reducts and Decision Rules in Rough Sets

This monograph is devoted to theoretical and experimental study of partial reducts and partial decision rules on the basis of the study of partial covers. The use of partial (approximate) reducts and decision rules instead of exact ones allows us to obtain more compact description of knowledge contained in decision tables, and to design more precise classifiers. Algorithms for construction of partial reducts and partial decision rules, bounds on minimal complexity of partial reducts and decision rules, and algorithms for construction of the set of all partial reducts and the set of all irreducible partial decision rules are considered. The book includes a discussion on the results of numerous experiments with randomly generated and real-life decision tables. These results show that partial reducts and decision rules can be used in data mining and knowledge discovery both for knowledge representation and for prediction. The results obtained in the monograph can be useful for researchers in such areas as machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, test theory and LAD (Logical Analysis of Data). The monograph can be used under the creation of courses for graduate students and for Ph.D. studies.

Informations détaillées sur le livre - Partial Covers, Reducts and Decision Rules in Rough Sets


EAN (ISBN-13): 9783540690276
ISBN (ISBN-10): 3540690271
Version reliée
Date de parution: 2009
Editeur: Springer-Verlag GmbH
150 Pages
Poids: 0,389 kg
Langue: eng/Englisch

Livre dans la base de données depuis 20.02.2007 15:05:59
Livre trouvé récemment le 01.12.2017 11:00:44
ISBN/EAN: 9783540690276

ISBN - Autres types d'écriture:
3-540-69027-1, 978-3-540-69027-6


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