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You already recently rated this item. Your rating has been recorded. Write a review Rate this item: 1 2 3 4 5. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics. Find a copy online Links to this item Table of contents Table of contents Table of contents. Allow this favorite library to be seen by others Keep this favorite library private.
Save Cancel. Find a copy in the library Finding libraries that hold this item Presents fundamental concepts and algorithms for those learning data mining for the first time. This book explores each concept and features each major topic organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
Print book : English : 1st ed View all editions and formats. Data mining. User tags User lists Similar Items. Introduction -- 2. Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals. Presented in a clear and accessible way, the book outlines fundamental concepts and algorithms for each topic, thus providing the reader with the necessary background for the application of data mining to real problems.
The text helps readers understand the nuances of the subject, and includes important sections on classification, association analysis, and cluster analysis. This edition improves on the first iteration of the book, published over a decade ago, by addressing the significant changes in the industry as a result of advanced technology and data growth.
The volume and variety of data being collected continues to increase, as has the rate velocity at which it is being collected and used to make decisions.
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