Studies in Big Data

Deep Learning in Data Analytics

Recent Techniques, Practices and Applications

Editors: Acharjya, Debi Prasanna, Mitra, Anirban, Zaman, Noor (Eds.)

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  • Provides recent advances in the fields of Deep Learning
  • Presents theoretical advances and its applications to real-life problems
  • Offers concepts and techniques of deep learning in a precise and clear manner
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eBook $129.00
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  • ISBN 978-3-030-75855-4
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  • Immediate eBook download after purchase
Hardcover $169.99
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  • ISBN 978-3-030-75854-7
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About this book

This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society.

Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.

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Table of contents (15 chapters)

Table of contents (15 chapters)
  • A Study on Discrete Action Sequences Using Deep Emotional Intelligence

    Pages 3-24

    Santhoshkumar, R. (et al.)

  • A Novel Noise Removal Technique Influenced by Deep Convolutional Autoencoders on Mammograms

    Pages 25-43

    Ghosh, Swarup Kr (et al.)

  • A High Security Framework Through Human Brain Using Algo Mixture Model Deep Learning Algorithm

    Pages 45-59

    Balakrishnan, S. (et al.)

  • Knowledge Framework for Deep Learning: Congenital Heart Disease

    Pages 61-74

    Chauhan, Ritu (et al.)

  • Automatic Image Segmentation by Ranking Based SVM in Convolutional Neural Network on Diabetic Fundus Image

    Pages 77-95

    Biswas, Biswajit (et al.)

Buy this book

eBook $129.00
price for USA
  • ISBN 978-3-030-75855-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA
  • ISBN 978-3-030-75854-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Deep Learning in Data Analytics
Book Subtitle
Recent Techniques, Practices and Applications
Editors
  • Debi Prasanna Acharjya
  • Anirban Mitra
  • Noor Zaman
Series Title
Studies in Big Data
Series Volume
91
Copyright
2022
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-75855-4
DOI
10.1007/978-3-030-75855-4
Hardcover ISBN
978-3-030-75854-7
Series ISSN
2197-6503
Edition Number
1
Number of Pages
XX, 266
Number of Illustrations
22 b/w illustrations, 92 illustrations in colour
Topics