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Algorithms for Intelligent Systems

Machine Learning for Intelligent Decision Science

Editors: Rout, Jitendra Kumar, Rout, Minakhi, Das, Himansu (Eds.)

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  • Presents the latest research on decision science
  • Discusses intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems
  • Written by active researchers in the field  
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eBook $129.00
price for USA in USD (gross)
  • ISBN 978-981-15-3689-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: June 21, 2020
  • ISBN 978-981-15-3688-5
  • Free shipping for individuals worldwide
About this book

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making.


About the authors

Jitendra Kumar Rout is an Assistant Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. He completed his Masters and PhD at the National Institute of Technology, Rourkela, India, in 2013 and 2017 respectively, and was a lecturer at various engineering colleges, such as GITA and TITE Bhubaneswar. He is a life member of Odisha IT Society (OITS) and has been actively involved in conferences like ICIT (one of the oldest conferences in Odisha). He is also a life member of IEI, and a member of IEEE, ACM, IAENG, and UACEE. His main research interests include data analytics, machine learning, NLP, privacy in social networks and big data, and he has published his work with IEEE and Springer.

Minakhi Rout is currently an Assistant Professor at the School of Computer Engineering, KIIT Deemed to be University. She received her M.tech and Ph.D. degrees in Computer Science & Engineering from Siksha ‘O’ Anusandhan University, Odisha, India, in 2009 and 2015, respectively. She has more than 13 years of teaching and research experience at various respected institutes, and her interests include computational finance, data mining and machine learning. She has published more than 25 research papers in various respected journals and at international conferences. She is editor for the Turkish Journal of Forecasting.

Himansu Das is an Assistant Professor at the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, India. He holds a B. Tech degree from the Institute of Technical Education and Research, India and an M. Tech degree in Computer Science and Engineering from the National Institute of Science and Technology, India. He has published several research papers in various international journals and at conferences. He has also edited several books for leading international publishers like IGI Global, Springer and Elsevier. He serves as a member of the editorial, review or advisory boards of various journals and conferences. Further, he has served as organizing chair, publicity chair and member of the technical program committees of several national and international conferences. He is also associated with various educational and research societies like IET, IACSIT, ISTE, UACEE, CSI, IAENG, and ISCA. He has more than 10 years of teaching and research experience, and his interests include data mining, soft computing and machine learning.

 


Table of contents (8 chapters)

Table of contents (8 chapters)
  • Development of Different Machine Learning Ensemble Classifier for Gully Erosion Susceptibility in Gandheswari Watershed of West Bengal, India

    Pages 1-26

    Roy, Paramita (et al.)

  • Classification of ECG Heartbeat Using Deep Convolutional Neural Network

    Pages 27-47

    Pandey, Saroj Kumar (et al.)

  • Breast Cancer Identification and Diagnosis Techniques

    Pages 49-70

    Anji Reddy, V. (et al.)

  • Energy-Efficient Resource Allocation in Data Centers Using a Hybrid Evolutionary Algorithm

    Pages 71-92

    Reddy, V. Dinesh (et al.)

  • Root-Cause Analysis Using Ensemble Model for Intelligent Decision-Making

    Pages 93-114

    Selvam, Sheba (et al.)

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-981-15-3689-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: June 21, 2020
  • ISBN 978-981-15-3688-5
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning for Intelligent Decision Science
Editors
  • Jitendra Kumar Rout
  • Minakhi Rout
  • Himansu Das
Series Title
Algorithms for Intelligent Systems
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-3689-2
DOI
10.1007/978-981-15-3689-2
Hardcover ISBN
978-981-15-3688-5
Series ISSN
2524-7565
Edition Number
1
Number of Pages
XII, 209
Number of Illustrations
35 b/w illustrations, 78 illustrations in colour
Topics