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{ "item_title" : "Data Mining", "item_author" : [" Yong Yin", "Ikou Kaku", "Jiafu Tang "], "item_description" : "Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems.Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including: - supply chain design, - product development, - manufacturing system design, - product quality control, and - preservation of privacy. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/84/996/337/1849963371_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Mining|Yong Yin

Data Mining : Concepts, Methods and Applications in Management and Engineering Design

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Overview

Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems.Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including: - supply chain design, - product development, - manufacturing system design, - product quality control, and - preservation of privacy. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.

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Details

  • ISBN-13: 9781849963374
  • ISBN-10: 1849963371
  • Publisher: Springer
  • Publish Date: January 2011
  • Dimensions: 9.2 x 6.1 x 0.9 inches
  • Shipping Weight: 1.32 pounds
  • Page Count: 312

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