Big Data, Data Mining and Machine Learning: Value Creation for Business Leaders and Practitioners

"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...

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Kaydedildi:
Detaylı Bibliyografya
Yazar: Dean, Jared
Materyal Türü: Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: New Delhi Wiley India Pvt. Ltd. 2016
Seri Bilgileri:Wiley and SAS Business Series
Konular:
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MARC

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999 |c 5156  |d 5156 
020 |a 9788126550906 
082 |a 658.05631  |b DEA 
100 |a Dean, Jared  |9 3262 
245 |a Big Data, Data Mining and Machine Learning: Value Creation for Business Leaders and Practitioners 
260 |a New Delhi   |b Wiley India Pvt. Ltd.   |c 2016 
300 |a xix, 265 p.  
490 |a Wiley and SAS Business Series 
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" 
650 |a Management - Data Processing  |9 3263 
650 |a Big Data, Data Mining   |9 3264