Data Mining: A Tutorial-Based Primer, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Roiger, Richard J.

ISBN 10: 1498763979 / ISBN 13: 9781498763974

Published by Chapman and Hall/CRC, 2016

About this Item

NEW BOOK. "Data Mining: A Tutorial-based Primer, Second Edition" by Richard J. Roiger is a comprehensive textbook that serves as a primer for students and professionals in the fields of computer science, business, and economics. The book covers subjects such as programming, databases, data mining, and statistics, making it a valuable resource for those looking to deepen their understanding of these areas. With a practical tutorial-based approach and 487 pages of content, this textbook provides a thorough introduction to the field of data mining in English language.".

Seller Inventory # ABE-1768090512056

Bibliographic Details

• Title: Data Mining: A Tutorial-Based Primer, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
• Publisher: Chapman and Hall/CRC
• Publication Date: 2016
• Language: English
• ISBN 10: 1498763979
• ISBN 13: 9781498763974
• Binding: Soft cover
• Edition: 2nd Edition
• Condition: New
• Dimensions: 3.18W x 17.78H x 25.4D centimeters 3.18 centimeters width by 17.78 centimeters height by 25.4 centimeters depth
• Weight: 907 grams

About this title

Synopsis

Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem. Fundamental data mining strategies, techniques, and evaluation methods are presented and implemented with the help of two well-known software tools.

Several new topics have been added to the second edition including an introduction to Big Data and data analytics, ROC curves, Pareto lift charts, methods for handling large-sized, streaming and imbalanced data, support vector machines, and extended coverage of textual data mining. The second edition contains tutorials for attribute selection, dealing with imbalanced data, outlier analysis, time series analysis, mining textual data, and more.

The text provides in-depth coverage of RapidMiner Studio and Weka’s Explorer interface. Both software tools are used for stepping students through the tutorials depicting the knowledge discovery process. This allows the reader maximum flexibility for their hands-on data mining experience.

About the Author

Richard J. Roiger is a professor emeritus at Minnesota State University, Mankato where he taught and performed research in the Computer & Information Science Department for 27 years. Dr. Roiger’s Ph.D. degree is in Computer & Information Sciences from the University of Minnesota. Dr. Roiger continues to serve as a part-time faculty member teaching courses in data mining, artificial intelligence and research methods. Richard enjoys interacting with his grandchildren, traveling, writing and pursuing his musical talents.