00000cmm a22000003i 4500 UP-1685594773862447190 Buklod 20240123115725.0 m | | ta 240123s2019 xx u eng d 9783110551433 (ebook) (iLib)UPBAG-00043667189 ML-1028EB Megatexts Phil. Inc. Php10,033.00 College of Science DLC BAG rda eng ML-ebook Machine learning for big data analysis [electronic resource] edited by Siddhartha Bhattacharyya, Hrishikesh Bhaumik, Anirban Mukherjee, Sourav De. Berlin, [Germany] Walter de Gruyter GmbH [2019] 1 online resource (vii, 183 pages) illustrations text rdacontent computer rdamedia online resource rdacarrier Frontiers in computational intelligence volume 1 Includes bibliographical references and index Applying big data analytics for psychometric micro-targeting / Till Blesik, Matthias Murawski, Murat Vurucu and Markus Bick -- Keframe selection for video indexing using approximate minimal spanning tree / Hrishikesh Bhaumik, Siddhartha Bhattacharyya, Surangam Sur and Susanta Chakraborty -- Deep learning techniques for image processing / Amit Adate and B.K. Tripathy -- Connecting cities using smart transportation : an overview / Abantika Choudhury and Moumita Deb -- Model of intellectual analysis of multidimensional semi-structured data based on hybrid neuro-fuzzy networks / S.V. Gorbachev -- Image fusion in remote sensing based on sparse sampling method and PCNN techniques / Sathish Nirala, Deepak Mishra, K. Martin Sagayam, D. Narain Ponraj, X. Ajay Vasanth, Lawrence Henesey and Chung Ching Ho. This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Electronic reproduction. Berlin Walter de Gruyter GmbH 2017. Available via World Wide Web through De Gruyter. Big data. Machine learning. Quantitative research. Electronic books. Bhattacharyya, Siddhartha 1975- editor. Bhaumik, Hrishikesh 1974- editor. Mukherjee, Anirban 1972- editor. De, Sourav 1979- editor. https://www.degruyter.com/document/doi/10.1515/9783110551433/html Available for University of the Philippines Baguio via De Gruyter. Click here to access (viewed 20 January 2022) FO Monograph UPBAG UPBAG-MAIN ML-ebook Electronic Resource