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Practical Applications Of Data Mining
출판사 : Jones & Bartlett
저 자 : Suh
ISBN : 9780763785871
발행일 : 2011-1
도서종류 : 외국도서
발행언어 : 영어
페이지수 : 420
판매가격 : 55,000원
판매여부 : 재고확인요망
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   Practical Applications Of Data Mining 목차
Preface

Foreword

Chapter 1 Introduction to Data Mining

Chapter 2 Association Rules

Chapter 3 Classification Learning

Chapter 4 Statistics for Data Mining

Chapter 5 Rough Sets and Bayes Theories

Chapter 6 Neural Networks

Chapter 7 Clustering

Chapter 8 Fuzzy Information Retrieval
   도서 상세설명   

Practical Applications Of Data Mining Emphasizes Both Theory And Applications Of Data Mining Algorithms. Various Topics Of Data Mining Techniques Are Identified And Described Throughout, Including Clustering, Association Rules, Rough Set Theory, Probability Theory, Neural Networks, Classification, And Fuzzy Logic. Each Of These Techniques Is Explored With A Theoretical Introduction And Its Effectiveness Is Demonstrated With Various Chapter Examples. This Book Will Help Any Database And IT Professional Understand How To Apply Data Mining Techniques To Real-World Problems.
Following An Introduction To Data Mining Principles, Practical Applications Of Data Mining Introduces Association Rules To Describe The Generation Of Rules As The First Step In Data Mining. It Covers Classification And Clustering Methods To Show How Data Can Be Classified To Retrieve Information From Data. Statistical Functions And Drough Set Theory Are Discussed To Demonstrate How Statistical And Rough Set Formulas Can Be Used For Data Analytics And Knowlege Discovery. Neural Networks Is An Important Branch In Computational Intelligence. It Is Introduced And Explored In The Text To Investigate The Role Of Neural Network Algorithms In Data Analytics.

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