| 000 | 03467cam a2200433 i 4500 | ||
|---|---|---|---|
| 999 |
_c10609 _d10609 |
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| 001 | 18053182 | ||
| 005 | 20230606063501.0 | ||
| 008 | 140303s2014 njua b 001 0 eng d | ||
| 010 | _a 2014005823 | ||
| 020 | _a9781118618042 (hardback) | ||
| 040 |
_aDLC _beng _cDLC _erda _dDLC |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aHD30.2 _b.D39 2014 |
| 082 | 0 | 0 |
_a658.05631 _223 _bD.J.B |
| 084 |
_aCOM021030 _2bisacsh |
||
| 100 | 1 |
_aDean, Jared, _d1978- _eauthor _933312 |
|
| 245 | 1 | 0 |
_aBig data, data mining and machine learning : _bvalue creation for business leaders and practitioners / _cJared Dean. |
| 264 | 1 |
_aHoboken, New Jersey : _bJohn Wiley and Sons, Inc., _c[2014] |
|
| 300 |
_axix, 265 pages : _billustrations ; _c24 cm. |
||
| 336 |
_atext _2rdacontent |
||
| 337 |
_aunmediated _2rdamedia |
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| 338 |
_avolume _2rdacarrier |
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| 490 | 0 | _aWiley & SAS business series | |
| 500 | _aengineering bookfair2016 | ||
| 504 | _aIncludes bibliographical references (pages 247-251) and index. | ||
| 505 | 0 | _aHardware -- Distributed systems -- Analytical tools -- Predictive modeling -- Common predictive modeling techniques -- Segmentation -- Incremental response modeling -- Time series date mining -- Recommendation systems -- Text analytics -- Case study of a large U.S.-based financial services company -- Case study of a major health care provider -- Case study of a technology manufacturer -- Case study of online brand management -- Case study of mobile application recommendations -- Case study of a high-tech product manufacturer -- Looking to the future. | |
| 520 |
_a"An expert guide to high performance computing architectures and how they relate to analytics and data miningWith the exponential growth of data comes an ever-increasing need to process and analyze so-called Big Data. High Performance Data Mining and Big Data Analytics provides a comprehensive view of the recent trend toward high performance computing architectures and its natural connection to analytics and data mining. You'll find coverage of topics including: big data, high performance computing for analytics, massively parallel processing (MPP) databases, in-memory analytics, implementation of machine learning algorithms for big data platforms, text analytics, analytics environments, the analytics lifecycle, general applications, as well as a variety of cases. Offers coverage of business analytics, predictive modeling, and fact-based management Includes case studies featuring multinational companies Explores recent trends in high performance computing architectures relating to data mining Filled with case studies, High Performance Data Mining and Big Data Analytics provides a thorough grounding for optimally putting data mining and big data analytics to work for your organization"-- _cProvided by publisher. |
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| 650 | 0 |
_aManagement _xData processing. |
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| 650 | 0 | _aData mining. | |
| 650 | 0 | _aBig data. | |
| 650 | 0 | _aDatabase management. | |
| 650 | 0 |
_aInformation technology _xManagement. |
|
| 650 | 7 |
_aCOMPUTERS / Database Management / Data Mining. _2bisacsh |
|
| 776 | 0 | 8 |
_iOnline version: _aDean, Jared, 1978- _tHigh performance data mining and machine learning _dHoboken, New Jersey : John Wiley and Sons, Inc., [2014] _z9781118920695 _w(DLC) 2014009116 |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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| 942 |
_2ddc _cBK |
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