(eBook PDF) Data Mining and Predictive Analytics 2nd Edition

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Product details:

• ISBN-10 ‏ : ‎ 1118116194
• ISBN-13 ‏ : ‎ 978-1118116197
• Author: Daniel T. Larose

This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets.

Table contents:

PART I DATA PREPARATION

PART II STATISTICAL ANALYSIS

PART III CLASSIFICATION

PART IV CLUSTERING

PART V ASSOCIATION RULES

PART VI ENHANCING MODEL PERFORMANCE

PART VII FURTHER TOPICS

PART VIII CASE STUDY: PREDICTING RESPONSE TO DIRECT-MAIL MARKETING

Title tag:

Data Mining and Predictive Analytics 2nd Edition | Comprehensive Guide for Advanced Analysis Techniques
Explore Advanced Data Techniques with Data Mining and Predictive Analytics 2nd Edition
Master Data Patterns and Prediction | Data Mining and Predictive Analytics Second Edition