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{ "item_title" : "Intelligent Data Engineering and Analytics", "item_author" : [" Suresh Chandra Satapathy", "Yu-Dong Zhang", "Vikrant Bhateja "], "item_description" : "This book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4-5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines. ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/81/155/678/9811556784_b.jpg", "price_data" : { "retail_price" : "219.99", "online_price" : "219.99", "our_price" : "219.99", "club_price" : "219.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Intelligent Data Engineering and Analytics|Suresh Chandra Satapathy

Intelligent Data Engineering and Analytics : Frontiers in Intelligent Computing: Theory and Applications (Ficta 2020), Volume 2

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Overview

This book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4-5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines.

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Details

  • ISBN-13: 9789811556784
  • ISBN-10: 9811556784
  • Publisher: Springer
  • Publish Date: August 2020
  • Dimensions: 9.2 x 7.6 x 1.4 inches
  • Shipping Weight: 2.8 pounds
  • Page Count: 758

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