Richard J. Roiger

Data Mining (eBook, PDF)

A Tutorial-Based Primer, Second Edition

• Format: PDF

Produktbeschreibung

This textbook provides a tutorial-based introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The book follows the format of the first edition, but with updates and additions throughout.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 529
• Erscheinungstermin: 6. Januar 2017
• Englisch
• ISBN-13: 9781498763981
• Artikelnr.: 47509687

Autorenporträt

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.

Inhaltsangabe

Data Mining: A First View. Data Mining: A Closer Look. Basic Data Mining
Techniques. Weka - A Tool for Knowledge Discovery.
Pre Processing & Visualization Techniques. Knowledge Discovery in
Databases. Formal Evaluation Techniques. The Data
Warehouse. Neural Networks. Building Neural Networks with BpKNet.
Statistical Methods. Specialized Techniques. A Case Study
in Knowledge Discovery. Rule-Based Systems. Managing Uncertainty in
Rule-Based Systems. Intelligent Agents