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Introduction to Data Mining: Pearson New International Edition

Introduction to Data Mining: Pearson New International Edition

Autorzy
Wydawnictwo Pearson International Content
Data wydania 29/08/2013
Wydanie Pierwsze
Forma publikacji eBook: Fixed Page eTextbook (PDF)
Język angielski
ISBN 9781292038551
Kategorie Wydobywanie danych, Pozycje różne
licencja wieczysta
Produkt dostępny on-line
Typ przesyłki: wysyłka kodu na adres e-mail
E-Mail
zamówienie z obowiązkiem zapłaty
Do schowka

Opis książki

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics.

Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

Quotes

This book provides a comprehensive coverage of important data mining techniques.Numerous examples are provided to lucidly illustrate the key concepts.

-Sanjay Ranka, University of Florida

In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules).

-Mohammed Zaki, Rensselaer Polytechnic Institute

Introduction to Data Mining: Pearson New International Edition

Spis treści


  • Table of Contents

  • Chapter 1. Introduction

  • Chapter 2. Data

  • Chapter 3. Exploring Data

  • Chapter 4. Classification: Basic Concepts, Decision Trees, and Model Evaluation

  • Chapter 5. Classification: Alternative Techniques

  • Chapter 6. Association Analysis: Basic Concepts and Algorithms

  • Chapter 7. Association Analysis: Advanced Concepts

  • Chapter 8. Cluster Analysis: Basic Concepts and Algorithms

  • Chapter 9. Cluster Analysis: Additional Issues and Algorithms

  • Chapter 10. Anomaly Detection

  • Appendix B: Dimensionality Reduction

  • Appendix D: Regression

  • Appendix E: Optimization

  • Copyright Permissions

  • Index

  • 1

  • A

  • B

  • C

  • D

  • E

  • F

  • G

  • H

  • I

  • J

  • K

  • L

  • M

  • N

  • O

  • P

  • Q

  • R

  • S

  • T

  • U

  • V

  • W

  • X

  • Y

  • Z

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