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Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery

Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery
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Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery
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  • Stock Status: Out Of Stock
  • Sold by Wiley India
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  • Publisher: Wiley
  • ISBN-13:  9788126567324
  • Total Pages:  488 Pages
  • Book Language:  English
  • Available Book Formats: Paperback
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The use and application of data mining and ˜big data' increasingly take center stage in our modern, data-saturated society, due to explosions in automated data collection, advances in computing power, online and social media development, and interactive / linkable software. This book provides a coherent, technical introduction to the statistical analytics needed to support decision- and policy-making based on these amassing data. It prepares students and interested practitioners to explore and analyze large databases in a variety of application areas, including business & finance, public health, engineering, environmental & climate science, astronomy & astrophysics, and many others. Each featured method is illustrated with real-world examples and links are provided to open-source R compute..
Pustak Details
Sold ByWiley India
AuthorWalter W. Piegorsch
ISBN-139788126567324
FormatPaperback
LanguageEnglish
Pages488 Pages
CategoryDATA MINING STATISTICS

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Book Description

Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery

The use and application of data mining and ˜big data' increasingly take center stage in our modern, data-saturated society, due to explosions in automated data collection, advances in computing power, online and social media development, and interactive / linkable software. This book provides a coherent, technical introduction to the statistical analytics needed to support decision- and policy-making based on these amassing data. It prepares students and interested practitioners to explore and analyze large databases in a variety of application areas, including business & finance, public health, engineering, environmental & climate science, astronomy & astrophysics, and many others. Each featured method is illustrated with real-world examples and links are provided to open-source R computer code for implementation of the methodology. The text features extensive exercises, making it suitable for use as a course sourcebook.

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