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Practical Applications Of Data Mining by SANG C.SUH, Suh, Sang C., Sang C. Suh is a science book available to read on EtoBox.

What is Practical Applications Of Data Mining about?

Practical Applications Of Data Mining Emphasizes Both Theory And Applications Of Data Mining Algorithms. Various Topics Of Data Mining Techniques Are Identified And Described Throughout, Including Clustering, Association Rules, Rough Set Theory, Probability Theory, Neural Networks, Classification, And Fuzzy Logic. Each Of These Techniques Is Explored With A Theoretical Introduction And Its Effectiveness Is Demonstrated With Various Chapter Examples. This Book Will Help Any Database And IT Professional Understand How To Apply Data Mining Techniques To Real-World Problems.Following An Introduction To Data Mining Principles, Practical Applications Of Data Mining Introduces Association Rules To Describe The Generation Of Rules As The First Step In Data Mining. It Covers Classification And Clustering Methods To Show How Data Can Be Classified To Retrieve Information From Data. Statistical Functions And Drough Set Theory Are Discussed To Demonstrate How Statistical And Rough Set Formulas Can Be Used For Data Analytics And Knowlege Discovery. Neural Networks Is An Important Branch In Computational Intelligence. It Is Introduced And Explored In The Text To Investigate The Role Of Neural Ne

Who reads Practical Applications Of Data Mining?

Author

SANG C.SUH, Suh, Sang C., Sang C. Suh

Publisher

Jones & Bartlett Learning, LLC

Published

2012

Language

EN

ISBN

9780763785871

Category

science

Subjects

Computer Science, Reference

Rating

5 / 5 (3 ratings)

Updated

2026-03-14