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{ "item_title" : "Data Mining and Knowledge Discovery Handbook", "item_author" : [" Oded Maimon", "Lior Rokach "], "item_description" : "This handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified whole. The book first surveys, then provides comprehensive yet concise algorithmic descriptions of classic methods plus recently-developed extensions and novel methods. The volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level computer science and engineering students. It is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/38/709/822/0387098224_b.jpg", "price_data" : { "retail_price" : "379.99", "online_price" : "379.99", "our_price" : "379.99", "club_price" : "379.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Mining and Knowledge Discovery Handbook|Oded Maimon

Data Mining and Knowledge Discovery Handbook

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Overview

This handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified whole. The book first surveys, then provides comprehensive yet concise algorithmic descriptions of classic methods plus recently-developed extensions and novel methods. The volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level computer science and engineering students. It is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

This item is Non-Returnable

Details

  • ISBN-13: 9780387098227
  • ISBN-10: 0387098224
  • Publisher: Springer
  • Publish Date: October 2010
  • Dimensions: 9.3 x 6.3 x 2 inches
  • Shipping Weight: 3.8 pounds
  • Page Count: 1285

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