000			01619nam a2200217Ia 4500
003			NULRC
005			20250520102813.0
008			250520s9999 xx 000 0 und d
020			_a9781118876138
040			_cNULRC
050			_aQA 76.9 .D34 2015
245		0	_aData science and big data analytics: _bdiscovering, analyzing, visualizing and presenting data.
260			_aHoboken, New Jersey : _bJohn Wiley & Son, Inc., _cc2015
300			_axiii, 410 pages : _billustrations ; _c25 cm.
365			_bUSD23.88
504			_aIncludes bibliographical references and index.
505			_aChapter 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
520			_aData 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.
650			_aDATA ANALYSIS
942			_2lcc _cBK
999			_c15735 _d15735