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{ "item_title" : "Web Usage Mining Techniques and Applications Across Industries", "item_author" : [" A. V. Senthil Kumar "], "item_description" : "Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/52/250/613/1522506136_b.jpg", "price_data" : { "retail_price" : "200.00", "online_price" : "200.00", "our_price" : "200.00", "club_price" : "200.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Web Usage Mining Techniques and Applications Across Industries|A. V. Senthil Kumar

Web Usage Mining Techniques and Applications Across Industries

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Overview

Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.

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Details

  • ISBN-13: 9781522506133
  • ISBN-10: 1522506136
  • Publisher: Igi Global Scientific Publishing
  • Publish Date: August 2016
  • Dimensions: 11 x 8.5 x 1 inches
  • Shipping Weight: 2.92 pounds
  • Page Count: 450

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