| 008 |
|
170704s2015 inu a b 001 0 eng d |
| 020 |
|
|a9781118876138 (hbk.) :|cUSD59.95
|
| 040 |
|
|aNOU|beng
|
| 050 |
00
|
|aQA76.9.D343|bD382 2015
|
| 095 |
|
|aLB|bLBF|pbook|dQA76.9.D343|eD232:2|y2015|fcelin|cE019472|n1552
|
| 245 |
00
|
|aData science & big data analytics :|bdiscovering, analyzing, visualizing and presenting data /|cEMC Education Services ; [key contributors, David Dietrich, Barry Heller, Beibei Yang].
|
| 246 |
3
|
|aData science and big data analytics
|
| 260 |
|
|aIndianapolis, IN :|bWiley,|cc2015.
|
| 300 |
|
|axviii, 410 p. :|bill. (some col.) ;|c25 cm.
|
| 504 |
|
|aIncludes bibliographical references and index.
|
| 505 |
0
|
|a1. 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 |
|
|aThis 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.--|cFrom publisher's description.
|
| 650 |
0
|
|aData mining.
|
| 650 |
0
|
|aBig data.
|
| 650 |
0
|
|aQuantitative research.
|
| 700 |
1
|
|aDietrich, David.
|
| 700 |
1
|
|aHeller, Barry.
|
| 700 |
1
|
|aYang, Beibei.
|
| 710 |
2
|
|aEMC Education Services.
|
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