This book reviews state-of-the-art methodologies and techniques for analyzingenormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we could direct the readers in analysis of large data sets, through the explanation of basicconcepts, models and methodologies developed in recent decades. INDICE: Preface. 1. Data Mining Concepts. 2. Preparing the Data. 3. Data Reduction. 4. Learning from Data. 5. Statistical Methods. 6. Decision Trees & Decision Rules. 7. Neural Networks. 8. Ensemble Learning. 9. Cluster Analysis. 10. Association Rules. 11. Web Mining & Text Mining. 12. Advances in Data Mining. 13. Genetic Algorithms. 14. Fuzzy Systems. 15. Visualization Methods. 16. References. Appendix A: Data mining tools. Appendix B: Data mining applications.
- ISBN: 978-0-470-89045-5
- Editorial: John Wiley & Sons
- Encuadernacion: Cartoné
- Páginas: 576
- Fecha Publicación: 17/06/2011
- Nº Volúmenes: 1
- Idioma: Inglés