| Title : | Big data, data mining and machine learning : value creation for business leaders and practitioners | | Material Type: | printed text | | Authors: | Jared Dean, Author | | Publisher: | Hoboken, N.J. : J. Wiley & Sons | | Publication Date: | 2014 | | Pagination: | xix, 265 p. | | Layout: | ill. | | Size: | 24 cm | | ISBN (or other code): | 978-1-11-861804-2 | | General note: | Includes bibliographical references and index | | Languages : | English (eng) Original Language : English (eng) | | Descriptors: | Big data
Data mining
Database management
Information technology - Management
Management - Data processing
| | Class number: | 658.05 | | Abstract: | 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". | | Contents note: | Introduction; The Computing Environment; Hardware; Distributed Systems; Analytical Tools; Turning Data into Business Value; Predictive Modeling; Common Predictive Modeling Techniques; Segmentation; Incremental Response Modeling; Time Series Data Mining; Recommendation Systems; Text Analytics; 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; Free Access; Appendix; References; Index; | | Record link: | https://library.seeu.edu.mk/index.php?lvl=notice_display&id=17947 |
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