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{ "item_title" : "Data Science", "item_author" : [" Qinglei Zhou", "Yong Gan", "Weipeng Jing "], "item_description" : "Computational theory for data science.- Big data management and applications.- Data quality and data preparation.- Evaluation and measurement in data science.- Data visualization.- Big data mining and knowledge management.- Infrastructure for data science.- Machine learning for data science.- Data security and privacy.- Applications of data science.- Case study of data science.- Multimedia data management and analysis.- Data-driven scientific research.- Data-driven bioinformatics.- Data-driven healthcare.- Data-driven management.- Data-driven e-government.- Data-driven smart city/planet.- Data marketing and economics.- Social media and recommendation systems.- Data-driven security.- Data-driven business model innovation.- Social and/or organizational impacts of data science.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/81/132/202/9811322023_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" : "" } }
Data Science|Qinglei Zhou

Data Science : 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, Icpcsee 2018, Zhengzhou, China, September 21-23

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Overview

Computational theory for data science.- Big data management and applications.- Data quality and data preparation.- Evaluation and measurement in data science.- Data visualization.- Big data mining and knowledge management.- Infrastructure for data science.- Machine learning for data science.- Data security and privacy.- Applications of data science.- Case study of data science.- Multimedia data management and analysis.- Data-driven scientific research.- Data-driven bioinformatics.- Data-driven healthcare.- Data-driven management.- Data-driven e-government.- Data-driven smart city/planet.- Data marketing and economics.- Social media and recommendation systems.- Data-driven security.- Data-driven business model innovation.- Social and/or organizational impacts of data science.

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Details

  • ISBN-13: 9789811322020
  • ISBN-10: 9811322023
  • Publisher: Springer
  • Publish Date: September 2018
  • Dimensions: 9.21 x 6.14 x 1.57 inches
  • Shipping Weight: 2.39 pounds
  • Page Count: 755

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