Machine learning for big data analyis / edited by Siddhartha Bhattacharyya, Hrishikesh Bhaumik, Anirban Mukherjee, Sourav De.
Contributor(s): Bhattacharyya, Siddhartha [editor.] | Bhaumik, Hrishikesh [editor.] | Mukherjee, Anirban [editor.] | De, Sourav [editor.]
Material type: TextSeries: Frontiers in computational intelligence, volume 1Publisher: Berlin : De Gruyter, [2019]Description: vii, 183 p. ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9783110550320Subject(s): Big data | Machine learning | Quantitative researchAdditional physical formats: Online version:: Machine learning for big data analyisDDC classification: 005.7 LOC classification: QA76.9.B45 | M33 2019Item type | Current location | Call number | Status | Date due | Barcode |
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Gift books | Mangalore University Library | 005.7 MAC (Browse shelf) | Available | A23256 |
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.
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