Machine Learning for Big Data Analysis /

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...

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Další autoři: Bhattacharyya, Siddhartha (Editor), Bhaumik, Hrishikesh (Editor), De, Sourav (Editor), Mukherjee, Anirban (Editor)
Médium: E-kniha
Jazyk:angličtina
Vydáno: Berlin ; Boston : De Gruyter, 2018
Edice:Frontiers in Computational Intelligence ; 1
Témata:
Artificial Intelligence.
Machine Learning.
Signal Processing.
umelá inteligencia
ISBN:9783110551433
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Obsah:
  • Frontmatter
  • Preface
  • Contents
  • 1. Applying big data analytics to psychometric micro-targeting / Blesik, Till / Murawski, Matthias / Vurucu, Murat / Bick, Markus
  • 2. Keyframe selection for video indexing using an approximate minimal spanning tree / Bhaumik, Hrishikesh / Sur, Surangam / Chakraborty, Susanta / Bhattacharyya, Siddhartha
  • 3. Deep learning techniques for image processing / Adate, Amit / Tripathy, B. K.
  • 4. Connecting cities using smart transportation: an overview / Choudhury, Abantika / Deb, Moumita
  • 5. Model of intellectual analysis of multidimensional semi-structured data based on deep neuro-fuzzy networks / Gorbachev, S. V.
  • 6. Image fusion in remote sensing based on sparse sampling method and PCNN techniques / Nirala, Satish / Mishra, Deepak / Sagayam, K. Martin / Ponraj, D. Narain / Vasanth, X. Ajay / Henesey, Lawrence / Ho, Chiung Ching
  • Index

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