Foundations of Data Mining and Knowledge Discovery (Studies in Computational Intelligence) (Studies in Computational Intelligence)

__Foundations of Data Mining and Knowledge Discovery__ contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state-of-the-art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications. Knowledge Discovery as Translation....Pages 1-19 Mathematical Foundation of Association Rules – Mining Associations by Solving Integral Linear Inequalities....Pages 21-42 Comparative Study of Sequential Pattern Mining Models....Pages 43-70 Designing Robust Regression Models....Pages 71-86 A Probabilistic Logic-based Framework for Characterizing Knowledge Discovery in Databases....Pages 87-100 A Careful Look at the Use of Statistical Methodology in Data Mining....Pages 101-117 Justification and Hypothesis Selection in Data Mining....Pages 119-130 On Statistical Independence in a Contingency Table....Pages 131-141 A Comparative Investigation on Model Selection in Binary Factor Analysis....Pages 143-160 Extraction of Generalized Rules with Automated Attribute Abstraction....Pages 161-170 Decision Making Based on Hybrid of Multi-Knowledge and Naïve Bayes Classifier....Pages 171-184 First-Order Logic Based Formalism for Temporal Data Mining * ....Pages 185-210 An Alternative Approach to Mining Association Rules....Pages 211-231 Direct Mining of Rules from Data with Missing Values....Pages 233-264 Cluster Identification Using Maximum Configuration Entropy....Pages 265-276 Mining Small Objects in Large Images Using Neural Networks....Pages 277-303 Improved Knowledge Mining with the Multimethod Approach....Pages 305-318 Posting Act Tagging Using Transformation-Based Learning....Pages 319-331 Identification of Critical Values in Latent Semantic Indexing....Pages 333-346 Reporting Data Mining Results in a Natural Language....Pages 347-361 An Algorithm to Calculate the Expected Value of an Ongoing User Session....Pages 363-375

foundations Of Data Mining And Knowledge Discovery Contains The Latest Results And New Directions In Data Mining Research. Data Mining, Which Integrates Various Technologies, Including Computational Intelligence, Database And Knowledge Management, Machine Learning, Soft Computing, And Statistics, Is One Of The Fastest Growing Fields In Computer Science. Although Many Data Mining Techniques Have Been Developed, Further Development Of The Field Requires A Close Examination Of Its Foundations. This Volume Presents The Results Of Investigations Into The Foundations Of The Discipline, And Represents The State Of The Art For Much Of The Current Research. This Book Will Prove Extremely Valuable And Fruitful For Data Mining Researchers, No Matter Whether They Would Like To Uncover The Fundamental Principles Behind Data Mining, Or Apply The Theories To Practical Applications.

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 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