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Lecture Notes in Computer Science 3400 Transactions on Rough Sets III 🔍
James F. Peters, Andrzej Skowron (eds.), James F Peters, Andrzej Skowron Springer-Verlag Berlin/Heidelberg, Transactions on Rough Sets, 3700, 1st ed. 2005, Berlin, Heidelberg :, 2005
英语 [en] · PDF · 279.7MB · 2005 · 📗 未知类型的图书 · 🚀/duxiu/zlibzh · Save
描述
In this paper we propose a new approach to data analysis (mining) based on information flow distribution study in a flow graph.
备用文件名
zlibzh/no-category/James F. Peters, Andrzej Skowron (eds.), James F Peters, Andrzej Skowron/Lecture Notes in Computer Science 3400 Transactions on Rough Sets III_117347591.pdf
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Transactions on Rough Sets II: Rough Sets and Fuzzy Sets (Lecture Notes in Computer Science, 3135)
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Transactions on Rough Sets: Rough Sets and Fuzzy Sets: v. 2 (Lecture Notes in Computer Science)
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Lecture Notes in Computer Science 3135 Transactions on Rough Sets II Rough Sets and Fuzzy Sets
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Transactions on Rough Sets III (Lecture Notes in Computer Science, 3400)
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Transactions on Rough Sets I (Lecture Notes in Computer Science, 3100)
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Lecture Notes in Computer Science 3700 Transactions on Rough Sets IV
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Lecture Notes in Computer Science 3100 Transactions on Rough Sets I
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Transactions On Rough Sets Iv (lecture Notes In Computer Science)
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Transactions on rough sets three
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James F. Peters; Andrzej Skowron; Didier Dubois; Jerzy Grzymala-Busse; Masahiro Inuiguchi; Lech Polkowski
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Peters, James F., Skowron, Andrzej, Grzymala-Busse, Jerzy W.
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Peters, James F. [editor]; Skowron, Andrzej [editor];
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James F. Peters ... [et al.] (eds.)
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Springer Berlin Heidelberg : Imprint : Springer
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Springer Spektrum. in Springer-Verlag GmbH
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Steinkopff. in Springer-Verlag GmbH
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Berlin ; Springer, 2004.
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Springer London, Limited
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Lecture notes in computer science -- 3135. Journal subline., Lecture notes in computer science -- 3135., Lecture notes in computer science, Berlin, New York, Germany, 2004
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Lecture notes in computer science,, 3100., Journal subline, Lecture notes in computer science ;, 3100., Lecture notes in computer science., Berlin, New York, Germany, 2004
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Lecture notes in computer science -- 4374. -- Journal subline, Lecture notes in computer science -- 4374., Lecture notes in computer science, Berlin, Germany, 2007
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Lecture notes in computer science,, 3400., Journal subline, Lecture notes in computer science ;, 3400., Lecture notes in computer science., Berlin, Germany, 2005
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Lecture notes in computer science -- 3700., Journal subline, Lecture notes in computer science, Berlin, Germany, 2005
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Lecture notes in computer science, 3400, Berlin ; New York, ©2005
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Lecture notes in computer science, Berlin, Heidelberg, 2004
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Springer Nature, Berlin, Heidelberg, 2005
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1 edition, December 31, 1899
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1 edition, January 12, 2005
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2004, 2004/07/05
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Germany, Germany
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2004, PT, 2004
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2005, PS, 2004
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2005, PS, 2008
元数据中的注释
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filepath:/读秀/读秀4.0/读秀/4.0/数据库43-2/Lecture Notes in Computer Science 3400 Transactions on Rough Sets III_40368819.zip
元数据中的注释
Includes bibliographical references and index.
元数据中的注释
"Commemorating the life and work of Zdzisław Pawlak, part 1."
Includes bibliographical references and indexes.
元数据中的注释
Includes bibliographical references and author index.
备用描述
Volume III of the Transactions on Rough Sets (TRS) introduces advances in the theory and application of rough sets. These advances have far-reaching impli- tions in a number of researchareas such as approximate reasoning, bioinform- ics,computerscience,datamining,engineering(especially,computerengineering and signal analysis), intelligent systems, knowledge discovery, pattern recog- tion,machineintelligence,andvariousformsoflearning. This volumerevealsthe vigor, breadth and depth in research either directly or indirectly related to the rough sets theory introduced by Prof. Zdzis law Pawlak more than three decades ago. Evidence of this can be found in the seminal paper on data mining by Prof. Pawlak included in this volume. In addition, there are eight papers on the theory and application of rough sets as well as a presentation of a new version of the Rough Set Exploration System (RSES) tool set and an introduction to the Rough Set Database System (RSDS). Prof. Pawlak has contributed a pioneering paper on data mining to this v- ume. In this paper, it is shown that information ?ow in a ?ow graph is governed by Bayes rule with a deterministic rather than a probabilistic interpretation. A cardinal feature of this paper is that it is self-contained inasmuch as it not only introduces a new viewof information?owbut alsoprovidesanintroduction to the basic concepts of ?ow graphs. The representation of information ?ow - troduced in this paper makes it possible to study di?erent relationships in data and establishes a basis for a new mathematical tool for data mining. Inadditionto thepaperbyProf.
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Volume IV of the Transactions on Rough Sets (TRS) introduces a number of new advances in the theory and application of rough sets. Rough sets and - proximationspaceswereintroducedmorethan30yearsagobyZdzis lawPawlak. These advances have profound implications in a number of research areas such as the foundations of rough sets, approximate reasoning, arti?cial intelligence, bioinformatics,computationalintelligence, cognitivescience, intelligentsystems, datamining,machineintelligence,andsecurity. Inaddition,itisevidentfromthe papers included in this volume that the foundations and applications of rough sets is a very active research area worldwide. A total of 16 researchers from 7 countries are represented in this volume, namely, Canada, India, Norway, S- den, Poland, Russia and the United States of America. Evidence of the vigor, breadth and depth of research in the theory and applications of rough sets can be found in the 10 articles in this volume. Prof. Pawlak has contributed a treatise on the philosophical underpinnings of rough sets. In this treatise, observations are made about the Cantor notion of a set, antinomies arising from Cantor sets, the problem of vagueness (es- cially, vague (imprecise) concepts), fuzzy sets, rough sets, fuzzy vs. rough sets as well as logic and rough sets. Among the many vistas and research directions suggested by Prof. Pawlak, one of the most fruitful concerns the model for a rough membership function, which was incarnated in many di?erent forms since its introduction by Pawlakand Skowronin 1994. Recall, here, that Prof.
Erscheinungsdatum: 04.11.2005
备用描述
Volume IV of the Transactions on Rough Sets (TRS) introduces a number of new advances in the theory and application of rough sets. Rough sets and - proximationspaceswereintroducedmorethan30yearsagobyZdzis lawPawlak. These advances have profound implications in a number of research areas such as the foundations of rough sets, approximate reasoning, arti?cial intelligence, bioinformatics, computationalintelligence, cognitivescience, intelligentsystems, datamining, machineintelligence, andsecurity. Inaddition, itisevidentfromthe papers included in this volume that the foundations and applications of rough sets is a very active research area worldwide. A total of 16 researchers from 7 countries are represented in this volume, namely, Canada, India, Norway, S- den, Poland, Russia and the United States of America. Evidence of the vigor, breadth and depth of research in the theory and applications of rough sets can be found in the 10 articles in this volume. Prof. Pawlak has contributed a treatise on the philosophical underpinnings of rough sets. In this treatise, observations are made about the Cantor notion of a set, antinomies arising from Cantor sets, the problem of vagueness (es- cially, vague (imprecise) concepts), fuzzy sets, rough sets, fuzzy vs. rough sets as well as logic and rough sets. Among the many vistas and research directions suggested by Prof. Pawlak, one of the most fruitful concerns the model for a rough membership function, which was incarnated in many di?erent forms since its introduction by Pawlakand Skowronin 1994. Recall, here, that Prof
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This collection of articles is devoted to fuzzy as well as rough set theories. Both theoriesarebasedonrigorousideas,methodsandtechniquesinlogic,mathem- ics, and computer science for treating problems for which approximate solutions are possible only, due to their inherent ambiguity, vagueness, incompleteness, etc. Vast areas of decision making, data mining, knowledge discovery in data, approximatereasoning,etc., aresuccessfully exploredusing methods workedout within fuzzy and rough paradigms. By the very nature of fuzzy and rough paradigms, outlined above, they are related to distinct logical it is well-known that rough sets are related to modal logicsS5andS4(Orl owska, E., Modal logics in the theory of infor- tion systems, Z. Math. Logik Grund. Math. 30, 1984, pp. 213 ?.; Vakarelov, D., Modal logics for knowledgerepresentationsystems,LNCS 363,1989,pp. 257?.) and to ?nitely-valued logics (Pagliani, P., Rough set theory and logic-algebraic structures. In Incomplete Rough Set Analysis,Orlo wska, E., ed., Physica/Springer, 1998, pp. 109 ?.; Polkowski, L. A note on 3-valued rough logic accepting decision rules, Fundamenta Informaticae 61, to appear). Fuzzy sets are related to in?nitely-valued logics (fuzzy membership to degree r? [0,1]expressingtruthdegreer)(Goguen,J.A.,Thelogicofinexactconcepts, Synthese18/19,1968-9,pp.325?.;Pavelka,J.,OnfuzzylogicI,II,III,Z. Math. Logik Grund. Math. 25, 1979, pp. 45 ?., pp. 119 ?., pp. 454 ?.; Dubois, D., Prade, H., Possibility Theory, Plenum Press, 1988; Haj ek, P., Metamathematics of Fuzzy Logic, Kluwer, 1998).
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The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. This fourth volume of the Transactions on Rough Sets opens with an introductory article by Zdzislaw Pawlak, the originator of rough sets. Seven papers explore the theory of rough sets in various domains: a framework for reasoning with rough sets utilizing extended logic programs, optimization of decision trees, fuzzy set and rough set approaches to dealing with missing data, generalization of the indiscernibility relation as an aid to dealing with incompletely specified decision tables, deterministic and non-deterministic decision tree complexity in the context of both finite and infinite information systems, analogy-based reasoning in classifier construction, and incremental learning and evaluation of structures of rough decision tables. In addition, two papers in this volume introduce new applications of rough sets, namely, supervised learning in the gene ontology and the design of an intrusion detection system
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We would like to present, with great pleasure, the ?rst volume of a new jo- nal, Transactions on Rough Sets. This journal, part of the new journal subline in the Springer-Verlag series Lecture Notes in Computer Science, is devoted to the entire spectrum of rough set related issues, starting from logical and ma- ematical foundations of rough sets, through all aspects of rough set theory and its applications, data mining, knowledge discovery and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets, theory of evidence, etc. The ?rst, pioneering papers on rough sets, written by the originator of the idea, ProfessorZdzis lawPawlak, werepublishedintheearly1980s.Weareproud to dedicate this volume to our mentor, Professor Zdzis law Pawlak, who kindly enriched this volume with his contribution on philosophical, logical, and mat- matical foundations of roughset theory. In his paper Professor Pawlakshows all over again the underlying ideas of rough set theory as well as its relations with Bayes' theorem, con?ict analysis, ?ow graphs, decision networks, and decision rules.
备用描述
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. This third volume of the Transactions on Rough Sets presents 11 revised papers that have been through a careful peer reviewing process by the journal's Editorial Board. The research monograph "Time Complexity of Decision Trees" by Mikhail Ju. Moshkov is presented in the section on dissertation and monographs. Among the regular papers the one by Zdzislaw Pawlak entitled "Flow Graphs and Data Mining" deserves a special mention
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<p>The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness and incompleteness, such as fuzzy sets and theory of evidence.</p>
<p>This second volume of the Transactions on Rough Sets presents 17 thoroughly reviewed revised papers devoted to rough set theory, fuzzy set theory; these papers highlight important aspects of these theories, their interrelation and application in various fields.</p>
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With the rapid growth of information on the World Wide Web, automatic classification of web pages has become important for effective indexing and retrieval of web documents.
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James F. Peters, Andrzej Skowron (eds.). Includes Bibliographical References And Index.
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Keine Beschreibung vorhanden.
Erscheinungsdatum: 05.07.2004
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Keine Beschreibung vorhanden.
Erscheinungsdatum: 03.12.2004
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Keine Beschreibung vorhanden.
Erscheinungsdatum: 17.05.2005
开源日期
2024-06-13
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