menu
{ "item_title" : "Contemporary Perspectives in Data Mining", "item_author" : [" Kenneth D. Lawrence", "Ronald K. Klimberg "], "item_description" : "The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner.Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups.Data mining applications are in finance (banking, brokerage, and insurance), marketing (customer relationships, retailing, logistics, and travel), as well as in manufacturing, health care, fraud detection, homeland security, and law enforcement.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/64/113/055/1641130555_b.jpg", "price_data" : { "retail_price" : "100.00", "online_price" : "100.00", "our_price" : "100.00", "club_price" : "100.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Contemporary Perspectives in Data Mining|Kenneth D. Lawrence

Contemporary Perspectives in Data Mining

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner.

Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups.

Data mining applications are in finance (banking, brokerage, and insurance), marketing (customer relationships, retailing, logistics, and travel), as well as in manufacturing, health care, fraud detection, homeland security, and law enforcement.

This item is Non-Returnable

Details

  • ISBN-13: 9781641130554
  • ISBN-10: 1641130555
  • Publisher: Information Age Publishing
  • Publish Date: September 2017
  • Dimensions: 9.21 x 6.14 x 0.44 inches
  • Shipping Weight: 0.92 pounds
  • Page Count: 170

Related Categories

You May Also Like...

    1

BAM Customer Reviews