Data science & big data analytics discovering, analyzing, visualizing and presenting data
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.-- c From pub...
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| Other Authors: | , , |
| Format: | Book |
| Language: | English |
| Published: |
Indianapolis, IN
Wiley
2015
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| 020 | |a 978-1118876138 (hbk) | ||
| 020 | |a 111887613X (hbk) | ||
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| 050 | |a QA 76.9.D343 |b D382 2015 | ||
| 090 | |a QA 76.9.D343 |b D382 2015 | ||
| 245 | 1 | 0 | |a Data science & big data analytics |b discovering, analyzing, visualizing and presenting data |c EMC Education Services ; key contributors David Dietrich, Barry Heller, Beibei Yang |
| 246 | |a Data science and big data analytics | ||
| 264 | 1 | |a Indianapolis, IN |b Wiley |c 2015 | |
| 264 | 4 | |a © 2015 | |
| 300 | |a xviii, 410 pages |b illustrations (some color) |c 25 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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.-- c From publisher's description | ||
| 592 | |a IN/016382 |b 18/08/2022 |c RM256.30 |h Innowawasan Sdn. Bhd | ||
| 650 | 0 | |a Data mining | |
| 650 | 0 | |a Big data | |
| 650 | 0 | |a Quantitative research | |
| 700 | 1 | |a Dietrich, David |c (Computer scientist) |e contributor | |
| 700 | 1 | |a Heller, Barry |e contributor | |
| 700 | 1 | |a Yang, Beibei |e contributor | |
| 710 | 2 | |a EMC Education Services | |
| 999 | |a vtls000103681 |c 92560 |d 92560 | ||