Introduction to data mining /
By: Tan, Pang-Nin
Title By: Steinbach, Michael | Kumar, Vipin
Series: Pearson custom library.Publisher: Essex : Pearson, c2014.Edition: Pearson new international edition.Description: ii, 732 p. : ill. ; 28 cm.ISBN: 9781292026152Program: INFO911Subject(s): Data miningDDC classification: 006.312 TA IN Online resources: Ebook | Location Map| Item type | Home library | Call number | url | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 006.312 TA IN (Browse shelf) | link | Available | T0060363 | |||
| REGULAR | University of Wollongong in Dubai Main Collection | 006.312 TA IN (Browse shelf) | Available | T0060364 | ||||
| 3 DAY LOAN | University of Wollongong in Dubai Main Collection | 006.312 TA IN (Browse shelf) | Available | Oct2018 | T0060365 |
Originally published by Pearson Addison Wesley, c2006.
"This is a special adaptation of an established title widely used by colleges and universities throughout the world."--Back cover.
Includes bibliographical references and index.
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
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide the necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
INFO911