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Data science and big data analytics: discovering, analyzing, visualizing and presenting data.

Material type: TextTextPublication details: Hoboken, New Jersey : John Wiley & Son, Inc., c2015Description: xiii, 410 pages : illustrations ; 25 cmISBN:
  • 9781118876138
Subject(s): LOC classification:
  • QA 76.9 .D34 2015
Contents:
Chapter 1. Introduction to big data analysis -- Chapter 2. Data analytics lifecycle -- Chapter 3. Review of basic data analytic methods using R -- Chapter 4. Advanced analytical theory and methods : clustering -- Chapter 5 . Advanced analytical theory and methods : association rules -- Chapter 6. Advanced analytical theory and methods : regression -- Chapter 7. Advanced analytical theory and methods : classification -- Chapter 8. Advanced analytical theory and methods : Time series analysis -- Chapter 9. Advanced analytical theory and methods : Text analysis -- Chapter 10. Advanced analytics - technology and tools : MapReduce and hadoop -- Chapter 11. Advanced analytics - technology and tools : In-database analytics -- Chapter 12. The endgame, or putting it all together
Summary: Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use.
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Graduate Studies General Circulation Gen. Ed - CEAS GC QA 76.9 .D34 2015 c.2 (Browse shelf(Opens below)) c.2 Available NULIB000013494

Includes bibliographical references and index.

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

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use.

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