Data Mining: Practical Machine Learning Techniques and Java Implementation (English Version): Practical Machine Learning Techniques and Java Implementation (English Version)

Author: Weiteng
Publisher:
Publish Date: 2003-09-01
Features: This is an excellent textbook that perfectly combines data mining algorithms and data mining practice. With his rich experience, the author provides an in-depth yet accessible introduction to the concepts of data mining and all its techniques (especially machine learning), and offers valuable suggestions on applying machine learning tools for data mining. Key elements of data mining are also integrated into numerous examples for illustration. The book also introduces Weka, a Java-based software system. This software can be used to analyze datasets, find applicable patterns, perform correct analysis, and can also be used to develop your own machine learning solutions. The main features of this book:
Explains the principles of data mining algorithms.
Helps readers choose appropriate algorithms based on actual situations through examples, and compares and evaluates the results obtained from different methods.
Introduces techniques to improve performance, including data processing and combining outputs from different methods.
Provides all the Weka software and additional learning materials for this book, which can be downloaded from http://www.mkp.com/datamining.