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{ "item_title" : "A Global Approach to Data Value Maximization", "item_author" : [" Dell'aversana Paolo "], "item_description" : "This book presents a systematic discussion about methods and techniques used to extract the maximum informative value from complex data sets. A multitude of approaches and techniques can be applied for that purpose, including data fusion and model integration, multimodal data analysis in different physical domains, audio-video display of data through techniques of sonification, multimedia machine learning, and hybrid methods of data analysis. The book begins with the domain of geosciences, before moving on to other scientific areas, like diagnostic medicine and various engineering sectors. As such, it will appeal to a large audience, including geologists and geophysicists, data scientists, physicians and cognitive scientists, and experts in social sciences and knowledge management. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/52/753/147/1527531473_b.jpg", "price_data" : { "retail_price" : "99.95", "online_price" : "99.95", "our_price" : "99.95", "club_price" : "99.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
A Global Approach to Data Value Maximization|Dell'aversana Paolo

A Global Approach to Data Value Maximization : Integration, Machine Learning and Multimodal Analysis

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Overview

This book presents a systematic discussion about methods and techniques used to extract the maximum informative value from complex data sets. A multitude of approaches and techniques can be applied for that purpose, including data fusion and model integration, multimodal data analysis in different physical domains, audio-video display of data through techniques of "sonification", multimedia machine learning, and hybrid methods of data analysis. The book begins with the domain of geosciences, before moving on to other scientific areas, like diagnostic medicine and various engineering sectors. As such, it will appeal to a large audience, including geologists and geophysicists, data scientists, physicians and cognitive scientists, and experts in social sciences and knowledge management.

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Details

  • ISBN-13: 9781527531475
  • ISBN-10: 1527531473
  • Publisher: Cambridge Scholars Publishing
  • Publish Date: April 2019
  • Dimensions: 8.2 x 5.7 x 0.8 inches
  • Shipping Weight: 0.85 pounds
  • Page Count: 226

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