Tag: Data Mining

Learning Analytics in R with SNA, LSA, and MPIA Front Cover

Learning Analytics in R with SNA, LSA, and MPIA

  • Length: 275 pages
  • Publication Date: 2016-04-14
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Recent Developments and New Direction in Soft-Computing Foundations and Applications Front Cover

Recent Developments and New Direction in Soft-Computing Foundations and Applications

  • Length: 529 pages
  • Publication Date: 2016-06-21
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Big Data Benchmarks, Performance Optimization, and Emerging Hardware Front Cover

Big Data Benchmarks, Performance Optimization, and Emerging Hardware

  • Length: 147 pages
  • Publication Date: 2016-02-16
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Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing Front Cover

Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing

  • Length: 191 pages
  • Publication Date: 2016-02-05
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Networking for Big Data Front Cover

Networking for Big Data

  • Length: 432 pages
  • Publication Date: 2015-08-03
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Pro Power BI Desktop Front Cover

Pro Power BI Desktop

  • Length: 509 pages
  • Publication Date: 2016-04-29
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R Deep Learning Essentials Front Cover

R Deep Learning Essentials

  • Length: 170 pages
  • Publication Date: 2016-03-30
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Making Sense of Data: Designing Effective Visualizations Front Cover

Making Sense of Data: Designing Effective Visualizations

  • Length: 250 pages
  • Publication Date: 2016-07-25
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Big Data Fundamentals: Concepts, Drivers & Techniques Front Cover

Big Data Fundamentals: Concepts, Drivers & Techniques

  • Length: 240 pages
  • Publication Date: 2016-01-15
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Big Data: Principles and best practices of scalable realtime data systems Front Cover

Big Data: Principles and best practices of scalable realtime data systems

  • Length: 328 pages
  • Publication Date: 2015-05-10
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Agile Metrics in Action: Measuring and Enhancing the Performance of Agile Teams Front Cover

Agile Metrics in Action: Measuring and Enhancing the Performance of Agile Teams

  • Length: 272 pages
  • Publication Date: 2015-07-31
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Practical Probabilistic Programming Front Cover

Practical Probabilistic Programming

  • Length: 325 pages
  • Publication Date: 2016-05-01
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