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{ "item_title" : "Knowledge Management and Engineering with Decisional DNA", "item_author" : [" Edward Szczerbicki", "Cesar Sanin "], "item_description" : "This is the first book on experience-based knowledge representation and knowledge management using the unique Decisional DNA (DDNA) technology. The DDNA concept is roughly a decade old, and is rapidly attracting increasing attention and interest among researchers and practitioners. This comprehensive book provides guidelines to help readers develop experience-based tools and approaches for smart engineering of knowledge, data and information. It does not attempt to offer ultimate answers, but instead presents ideas and a number of real-world case studies to explore and exemplify the complexities and challenges of modern knowledge engineering issues. It also increases readers' awareness of the multifaceted interdisciplinary character of such issues to enable them to consider - in different ways - developing, evaluating, and supporting smart knowledge engineering systems that use DDNA technology based on experience.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/039/600/3030396002_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Knowledge Management and Engineering with Decisional DNA|Edward Szczerbicki

Knowledge Management and Engineering with Decisional DNA

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Overview

This is the first book on experience-based knowledge representation and knowledge management using the unique Decisional DNA (DDNA) technology. The DDNA concept is roughly a decade old, and is rapidly attracting increasing attention and interest among researchers and practitioners. This comprehensive book provides guidelines to help readers develop experience-based tools and approaches for smart engineering of knowledge, data and information. It does not attempt to offer ultimate answers, but instead presents ideas and a number of real-world case studies to explore and exemplify the complexities and challenges of modern knowledge engineering issues. It also increases readers' awareness of the multifaceted interdisciplinary character of such issues to enable them to consider - in different ways - developing, evaluating, and supporting smart knowledge engineering systems that use DDNA technology based on experience.


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Details

  • ISBN-13: 9783030396008
  • ISBN-10: 3030396002
  • Publisher: Springer
  • Publish Date: February 2020
  • Dimensions: 9.21 x 6.14 x 0.63 inches
  • Shipping Weight: 1.21 pounds
  • Page Count: 248

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