Data science & big data analytics : discovering, analyzing, visualizing and presenting data /
by Dietrich, David (Computer scientist) [contributor.]; Heller, Barry [contributor.]; Yang, Beibei [contributor.]; EMC Education Services.
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BookPublisher: Indianapolis, IN : Wiley, [2015]Description: xviii, 410 pages : illustrations (some color) ; 25 cm.ISBN: 9781118876138; 111887613X.Other title: Data science and big data analytics.Subject(s): Data mining | Big data | Quantitative researchOnline resources: Contributor biographical information | Publisher description | Table of contents only | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
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Dept. of Information Science and Library Management, University of Dhaka General Stacks | Non Fiction | 006.312 DAT (Browse shelf) | 1 | Available | 0760 |
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| 005.74/SID Database system concepts / | 005.74 SID Database system concepts/ | 005.75/65 Databases : | 006.312 DAT Data science & big data analytics : | 006.312 MIN Mining text data / | 006.7 KUM 2002 Multimedia: Its application in library and information science / | 010 BIB 1969 Bibliographical services throughout the world 1960-1964 / |
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.-- From publisher's description.
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