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Data science & big data analytics discovering, analyzing, visualizing and presenting data

Contributor(s): Material type: TextTextPublication details: New Delhi Wiley 2015Description: xviii,410p. illustrations (some color) 25 cmISBN:
  • 9781118876138
Other title:
  • Data science and big data analytics
Subject(s): DDC classification:
  • 006.312 23 DA-
LOC classification:
  • QA76.9.D343 D382 2015
Contents:
1. Introduction to big data analytics -- 2. Data analytics lifecycle -- 3. Review of basic data analytic methods using R -- 4. Advanced analytical theory and methods: clustering -- 5. Advanced analytical theory and methods: association rules -- 6. Advanced analytical theory and methods: regression -- 7. Advanced analytical theory and methods: classification -- 8. Advanced analytical theory and methods: time series analysis -- 9. Advanced analytical theory and methods: text analysis -- 10. Advanced analytics, technology and tools: MapReduce and Hadoop -- 11. Advanced analytics, technology and tools: in-database analytics -- 12. The endgame, or putting it all together.
Summary: This book is about harnessing the power of data for new insights. The book covers the breadth of activities, methods, and tools that data scientists use. The content focuses on concepts, principles and practical applications that are relevant to any industry and technology environment.--
Item type: Print List(s) this item appears in: List of books on Big Data
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Holdings
Item type Home library Collection Shelving location Call number Materials specified Status Date due Barcode
Print Print OPJGU Sonepat- Campus General Books Main Library 006.312 DA- (Browse shelf(Opens below)) Available 134429

Includes bibliographical references and index.

1. Introduction to big data analytics -- 2. Data analytics lifecycle -- 3. Review of basic data analytic methods using R -- 4. Advanced analytical theory and methods: clustering -- 5. Advanced analytical theory and methods: association rules -- 6. Advanced analytical theory and methods: regression -- 7. Advanced analytical theory and methods: classification -- 8. Advanced analytical theory and methods: time series analysis -- 9. Advanced analytical theory and methods: text analysis -- 10. Advanced analytics, technology and tools: MapReduce and Hadoop -- 11. Advanced analytics, technology and tools: in-database analytics -- 12. The endgame, or putting it all together.

This book is about harnessing the power of data for new insights. The book covers the breadth of activities, methods, and tools that data scientists use. The content focuses on concepts, principles and practical applications that are relevant to any industry and technology environment.--

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