Jared Dean <br/><br/>
Big Data, Data Mining and Machine Learning 

 -  Wiley  2014 
<br/><br/>Part 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  
<br/><br/> This 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.  
<br/><br/><label>ISBN: </label>9788126550906