Introduction to data mining
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 chap...
| Main Author: | |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | Inglés |
| Published: |
New York, N.Y. :
Pearson
2019.
New York, NY : [2019] |
| Edition: | 2nd ed. Global ed |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009767117406719 |
Table of Contents:
- 1 Introduction
- 2 Data
- 3 Classification: Basic Concepts and Techniques
- 4 Association Analysis: Basic Concepts and Algorithms
- 5 Cluster Analysis: Basic Concepts and Algorithms
- 6 Classification: Alternative Techniques
- 7 Association Analysis: Advanced Concepts
- 8 Cluster Analysis: Additional Issues and Algorithms
- 9 Anomaly Detection
- 10 Avoiding False Discoveries
- Author Index
- Subject Index.
