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Foundations and Novel Approaches in Data Mining (Studies in Computational Intelligence) (Studies in Computational Intelligence)

Lawrence J. Mazlack (auth.), Professor Tsau Young Lin, Professor Setsuo Ohsuga, Dr. Churn-Jung Liau, Professor Xiaohua Hu (eds.)

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انگلیسی
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شابک
9783540257295، 9783540260714، 9783540265498، 9783540283157، 9783540312291، 9783540324010، 9783540324027، 9783540324096، 3540257292، 3540260714، 354026549X، 3540283153، 3540312293، 3540324011، 354032402X، 3540324097

دربارهٔ کتاب

data-mining Has Become A Popular Research Topic In Recent Years For The Treatment Of The Data Rich And Information Poor” Syndrome. Currently, Application Oriented Engineers Are Only Concerned With Their Immediate Problems, Which Results In An Ad Hoc Method Of Problem Solving. Researchers, On The Other Hand, Lack An Understanding Of The Practical Issues Of Data-mining For Realworld Problems And Often Concentrate On Issues That Are Of No Significance To The Practitioners. In This Volume, We Hope To Remedy Problems By (1) Presenting A Theoretical Foundation Of Data-mining, And (2) Providing Important New Directions For Data-mining Research. A Set Of Well Respected Data Mining Theoreticians Were Invited To Present Their Views On The Fundamental Science Of Data Mining. We Have Also Called On Researchers With Practical Data Mining Experiences To Present New Important Data-mining Topics. PART I. THEORETICAL FOUNDATIONS PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] -- Agnieszka Dardzinska, Zbigniew W. Ras PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] -- Agnieszka Dardzinska, Zbigniew W. Ras -- Jan Rauch ... [et al.] PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] -- Agnieszka Dardzinska, Zbigniew W. Ras -- Jan Rauch ... [et al.] -- Rafal A. Angryk, Frederick E. Petry PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] -- Agnieszka Dardzinska, Zbigniew W. Ras -- Jan Rauch ... [et al.] -- Rafal A. Angryk, Frederick E. Petry -- Jerzy W. Grzymala-Busse PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] -- Agnieszka Dardzinska, Zbigniew W. Ras -- Jan Rauch ... [et al.] -- Rafal A. Angryk, Frederick E. Petry -- Jerzy W. Grzymala-Busse -- Justin Zhan ... [et al.] PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] -- Agnieszka Dardzinska, Zbigniew W. Ras -- Jan Rauch ... [et al.] -- Rafal A. Angryk, Frederick E. Petry -- Jerzy W. Grzymala-Busse -- Justin Zhan ... [et al.] -- Mitja Leni*c ... [et al.] PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] -- Agnieszka Dardzinska, Zbigniew W. Ras -- Jan Rauch ... [et al.] -- Rafal A. Angryk, Frederick E. Petry -- Jerzy W. Grzymala-Busse -- Justin Zhan ... [et al.] -- Mitja Leni*c ... [et al.] -- Ching-Yao Wang ... [et al.] PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] -- Agnieszka Dardzinska, Zbigniew W. Ras -- Jan Rauch ... [et al.] -- Rafal A. Angryk, Frederick E. Petry -- Jerzy W. Grzymala-Busse -- Justin Zhan ... [et al.] -- Mitja Leni*c ... [et al.] -- Ching-Yao Wang ... [et al.] -- Ling Zhang, Bo Zhang -- PART III. NOVEL APPLICATIONS PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] -- Agnieszka Dardzinska, Zbigniew W. Ras -- Jan Rauch ... [et al.] -- Rafal A. Angryk, Frederick E. Petry -- Jerzy W. Grzymala-Busse -- Justin Zhan ... [et al.] -- Mitja Leni*c ... [et al.] -- Ching-Yao Wang ... [et al.] -- Ling Zhang, Bo Zhang -- PART III. NOVEL APPLICATIONS -- Qiankun Zhao ... [et al.] PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] -- Agnieszka Dardzinska, Zbigniew W. Ras -- Jan Rauch ... [et al.] -- Rafal A. Angryk, Frederick E. Petry -- Jerzy W. Grzymala-Busse -- Justin Zhan ... [et al.] -- Mitja Leni*c ... [et al.] -- Ching-Yao Wang ... [et al.] -- Ling Zhang, Bo Zhang -- PART III. NOVEL APPLICATIONS -- Qiankun Zhao ... [et al.] -- Kwang-Hoon Kim, Clarence A. Ellis PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] -- Agnieszka Dardzinska, Zbigniew W. Ras -- Jan Rauch ... [et al.] -- Rafal A. Angryk, Frederick E. Petry -- Jerzy W. Grzymala-Busse -- Justin Zhan ... [et al.] -- Mitja Leni*c ... [et al.] -- Ching-Yao Wang ... [et al.] -- Ling Zhang, Bo Zhang -- PART III. NOVEL APPLICATIONS -- Qiankun Zhao ... [et al.] -- Kwang-Hoon Kim, Clarence A. Ellis -- Mei-Ling Shyu ... [et al.] PART I. THEORETICAL FOUNDATIONS -- Lawrence J. Mazlack -- Jan Rauch -- Yiyu Yao ... [et al.] -- Shusaku Tsumoto -- JingTao Yao ... [et al.] -- PART II. NOVEL APPROACHES -- Jiaqi Wang ... [et al.] -- Agnieszka Dardzinska, Zbigniew W. Ras -- Jan Rauch ... [et al.] -- Rafal A. Angryk, Frederick E. Petry -- Jerzy W. Grzymala-Busse -- Justin Zhan ... [et al.] -- Mitja Leni*c ... [et al.] -- Ching-Yao Wang ... [et al.] -- Ling Zhang, Bo Zhang -- PART III. NOVEL APPLICATIONS -- Qiankun Zhao ... [et al.] -- Kwang-Hoon Kim, Clarence A. Ellis -- Mei-Ling Shyu ... [et al.] -- katherin M. Shelfer, Xiaohua Hu PART I. THEORETICAL FOUNDATIONS-- Lawrence J. Mazlack-- Jan Rauch-- Yiyu Yao ... [et al.]-- Shusaku Tsumoto-- JingTao Yao ... [et al.]-- PART II. NOVEL APPROACHES-- Jiaqi Wang ... [et al.]-- Agnieszka Dardzinska, Zbigniew W. Ras-- Jan Rauch ... [et al.]-- Rafal A. Angryk, Frederick E. Petry-- Jerzy W. Grzymala-Busse-- Justin Zhan ... [et al.]-- Mitja Leni*c ... [et al.]-- Ching-Yao Wang ... [et al.]-- Ling Zhang, Bo Zhang-- PART III. NOVEL APPLICATIONS-- Qiankun Zhao ... [et al.]-- Kwang-Hoon Kim, Clarence A. Ellis-- Mei-Ling Shyu ... [et al.]-- katherin M. Shelfer, Xiaohua Hu-- Vincent S.M. Tseng, Yen-Lo Chen. Commonsense Causal Modeling in the Data Mining Context....Pages 1-22 Definability of Association Rules in Predicate Calculus....Pages 23-40 A Measurement-Theoretic Foundation of Rule Interestingness Evaluation....Pages 41-59 Statistical Independence as Linear Dependence in a Contingency Table....Pages 61-73 Foundations of Classification....Pages 75-97 Data Mining as Generalization: A Formal Model....Pages 99-126 SVM-OD: SVM Method to Detect Outliers1....Pages 129-141 Extracting Rules from Incomplete Decision Systems: System ERID....Pages 143-153 Mining for Patterns Based on Contingency Tables by KL-Miner – First Experience....Pages 155-167 Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction....Pages 169-196 Rough Set Strategies to Data with Missing Attribute Values....Pages 197-212 Privacy-Preserving Collaborative Data Mining....Pages 213-227 Impact of Purity Measures on Knowledge Extraction in Decision Trees....Pages 229-242 Multidimensional On-line Mining....Pages 243-257 Quotient Space Based Cluster Analysis1....Pages 259-269 Research Issues in Web Structural Delta Mining....Pages 272-289 Workflow Reduction for Reachable-path Rediscovery in Workflow Mining....Pages 289-310 Principal Component-based Anomaly Detection Scheme....Pages 311-329 Making Better Sense of the Demographic Data Value in the Data Mining Procedure....Pages 331-362 An Effective Approach for Mining Time-Series Gene Expression Profile....Pages 363-376 Annotation This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. A solid understanding of these mechanisms is vital for numerous technological applications such as for example information retrieval from distributed musical databases or building expert systems. In order to investigate the cognitive mechanisms of music perception fundamentals of hearing psychophysiology and principles of music perception are presented. In addition, some computational intelligence methods are reviewed, such as rough sets, fuzzy logic, artificial neural networks, decision trees and genetic algorithms. The applications of hybrid decision systems to problem solving in music and acoustics are exemplified and discussed on the basis of obtained experimental results

This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. A solid understanding of these mechanisms is vital for numerous technological applications such as for example information retrieval from distributed musical databases or building expert systems. In order to investigate the cognitive mechanisms of music perception fundamentals of hearing psychophysiology and principles of music perception are presented. In addition, some computational intelligence methods are reviewed, such as rough sets, fuzzy logic, artificial neural networks, decision trees and genetic algorithms. The applications of hybrid decision systems to problem solving in music and acoustics are exemplified and discussed on the basis of obtained experimental results.

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.

"This book contains recent advances in Computational Intelligence methods for modeling, optimization and prediction and covers a large number of applications. The book presents new Computational Intelligence theory and methods for modeling and prediction. The range of the various applications is captured with 5 chapters in image processing, 2 chapters in audio processing, 3 chapters in commerce and finance, 2 chapters in communication networks and 6 chapters containing other applications."--Résumé de l'éditeur "This book contains recent advances in Computational Intelligence methods for modeling, optimization and prediction and covers a large number of applications. The book presents new Computational Intelligence theory and methods for modeling and prediction. The range of the various applications is captured with 5 chapters in image processing, 2 chapters in audio processing, 3 chapters in commerce and finance, 2 chapters in communication networks and 6 chapters containing other applications."--BOOK JACKET

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