000 | 01590nam a22001217a 4500 | ||
---|---|---|---|
999 |
_c296321 _d296321 |
||
020 | _a9788126550906 | ||
100 | _aJared Dean | ||
245 | _aBig Data, Data Mining and Machine Learning | ||
260 |
_bWiley _c2014 |
||
505 | _aPart One: The Computing Environment • Hardware • Distributed Systems • Analytical Tools Part Two: Turning Data into Business Value • Predictive Modeling • Common Predictive Modeling Techniques • Segmentation • Incremental Response Modeling • Time Series Data Mining • Recommendation Systems • Text Analytics Part Three: Success Stories of Putting It All Together • 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 | _aThis book provides a comprehensive view on the recent trend toward high performance computing architectures especially as it relates to analytics and data mining. Topics that are covered include: big data (and its characteristics), high performance computing for analytics, massively parallel processing (MPP) databases, algorithms for big data, in-memory databases, implementation of machine learning algorithms for big data platforms and analytics environments. However none gives a historical and comprehensive view of all these separate topics in a single document. | ||
942 | _cBK |