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{ "item_title" : "Introduction to Data Mining", "item_author" : [" Pang-Ning Tan", "Michael Steinbach", "Vipin Kumar "], "item_description" : "Introducing the fundamental concepts and algorithms of data mining 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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/13/312/890/0133128903_b.jpg", "price_data" : { "retail_price" : "173.32", "online_price" : "173.32", "our_price" : "173.32", "club_price" : "173.32", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Introduction to Data Mining|Pang-Ning Tan

Introduction to Data Mining

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Overview

Introducing the fundamental concepts and algorithms of data mining

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.

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Details

  • ISBN-13: 9780133128901
  • ISBN-10: 0133128903
  • Publisher: Pearson
  • Publish Date: January 2018
  • Dimensions: 9.3 x 7.7 x 1.9 inches
  • Shipping Weight: 3.7 pounds
  • Page Count: 864

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