000			01551nam a22002177a 4500
999			_c2642 _d2642
005			20220715132937.0
008			220715b ||||| |||| 00| 0 eng d
020			_a9789811500961
082			_a005.7 _bPRA
100			_aPrabhu, C. S. R. _97530
245			_aBig data analytics: systems, algorithms, applications
260			_bSpringer _aSwitzerland _c2019
300			_axxvi, 412 p.
365			_aEURO _b64.99
520			_aThis book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning - including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered.
650			_aBig data _9212
650			_aData mining _9365
700			_aChivukula, Aneesh Sreevallabh _97531
700			_aMogadala, Aditya _97532
942			_2ddc _cBK