Principles of Data Mining / Edition 1
by David J. Hand, Heikki Mannila, Padhraic Smyth, Padhraic Smyth
The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.See more details below
Overview
The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.
Product Details
- ISBN-13:
- 9780262082907
- Publisher:
- MIT Press
- Publication date:
- 08/01/2001
- Series:
- Adaptive Computation and Machine Learning series
- Edition description:
- New Edition
- Pages:
- 425
- Sales rank:
- 851,324
- Product dimensions:
- 8.00(w) x 9.00(h) x 1.00(d)
- Age Range:
- 18 Years
Table of Contents
| List of Tables | ||
| List of Figures | ||
| Series Foreword | ||
| Preface | ||
| 1 | Introduction | 1 |
| 2 | Measurement and Data | 25 |
| 3 | Visualizing and Exploring Data | 53 |
| 4 | Data Analysis and Uncertainty | 93 |
| 5 | A Systematic Overview of Data Mining Algorithms | 141 |
| 6 | Models and Patterns | 165 |
| 7 | Score Functions for Data Mining Algorithms | 211 |
| 8 | Search and Optimization Methods | 235 |
| 9 | Descriptive Modeling | 271 |
| 10 | Predictive Modeling for Classification | 327 |
| 11 | Predictive Modeling for Regression | 367 |
| 12 | Data Organization and Databases | 399 |
| 13 | Finding Patterns and Rules | 427 |
| 14 | Retrieval by Content | 449 |
| App | Random Variables | 485 |
| References | 491 | |
| Index | 525 |
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