| 000 | 03615cam a2200457 i 4500 | ||
|---|---|---|---|
| 005 | 20250930140439.0 | ||
| 008 | 150406s2014 njua bi 001 0 eng | ||
| 020 |
_a9781118618042 (hardback) _cRM224.21 |
||
| 020 | _a1118618041 (hardback) | ||
| 039 | 9 |
_a201506251152 _blan _c201506250913 _dlan _c201504060927 _dhamudah _y04-06-2015 _zhamudah |
|
| 040 |
_aDLC _beng _erda _cDLC _dYDX _dYDXCP _dOCLCF _dSOI _dOCLCO _dUKM _erda |
||
| 090 | _aHD30.2.D428 | ||
| 090 |
_aHD30.2 _b.D428 |
||
| 100 | 1 |
_aDean, Jared, _d1978- _eauthor. |
|
| 245 | 1 | 0 |
_aBig data, data mining and machine learning : _bvalue creation for business leaders and practitioners / _cJared Dean. |
| 246 | 1 | 8 |
_ispine title : _aBig data, data mining and machine learning. |
| 264 | 1 |
_aHoboken : _bJohn Wiley and Sons, Inc., _c[2014]. |
|
| 264 | 4 | _c©2014. | |
| 300 |
_axix, 265 pages : _billustrations ; _c24 cm. |
||
| 336 |
_atext _2rdacontent |
||
| 337 |
_aunmediated _2rdamedia |
||
| 338 |
_avolume _2rdacarrier |
||
| 650 | 0 |
_aManagement _xData processing. _960381 |
|
| 490 | 1 | _aWiley & SAS business series. | |
| 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. |
||
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aBig data. | |
| 650 | 0 |
_aDatabase management. _959532 |
|
| 650 | 0 |
_aInformation technology _xManagement. _960039 |
|
| 830 | 0 | _aWiley & SAS business series. | |
| 907 |
_a.b16113688 _b2019-11-12 _c2019-11-12 |
||
| 942 |
_c01 _n0 _kHD30.2.D428 |
||
| 914 | _avtls003583011 | ||
| 990 | _arab | ||
| 991 | _aFakulti Ekonomi dan Pengurusan | ||
| 998 |
_at _b2015-06-04 _cm _da _feng _gnju _y0 _z.b16113688 |
||
| 999 |
_c590369 _d590369 |
||