Provides students with a focused discussion of algorithms, data structures, data types, and complexity of algorithms and space.
Enables students to better understand techniques.
Enables instructors to choose portions of the book to cover in a limited period of time.
Margaret Dunham offers the experienced data base professional or graduate level Computer Science student an introduction to the full spectrum of Data Mining concepts and algorithms. Using a database perspective throughout, Professor Dunham examines algorithms, data structures, data types, and complexity of algorithms and space. This text emphasizes the use of data mining concepts in real-world applications with large database components.KEY FEATURES:
I. INTRODUCTION.1. Introduction.
II. CORE TOPICS.4. Classification.
III. ADVANCED TOPICS.7. Web Mining.
IV. APPENDIX.10. Data Mining Products.