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{ "item_title" : "Big Data Analytics Using Multiple Criteria Decision-Making Models", "item_author" : [" Ramakrishnan Ramanathan", "Muthu Mathirajan", "A. Ravi Ravindran "], "item_description" : "Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The book will include an Introduction to Big Data and Business Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data. ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/13/874/765/1138747653_b.jpg", "price_data" : { "retail_price" : "94.99", "online_price" : "94.99", "our_price" : "94.99", "club_price" : "94.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Big Data Analytics Using Multiple Criteria Decision-Making Models|Ramakrishnan Ramanathan

Big Data Analytics Using Multiple Criteria Decision-Making Models

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Overview

Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The book will include an Introduction to Big Data and Business Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.

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Details

  • ISBN-13: 9781138747654
  • ISBN-10: 1138747653
  • Publisher: CRC Press
  • Publish Date: July 2017
  • Dimensions: 9 x 6.1 x 0.7 inches
  • Shipping Weight: 0.95 pounds
  • Page Count: 386

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