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Algorithms for Intelligent Systems

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications

Editors: K G, Srinivasa, G M, Siddesh, Manisekhar, S R (Eds.)

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  • Covers the latest research in the area of bioinformatics and machine learning 
  • Highlights the application of knowledge from biological data in various domains 
  • Is useful for researchers and academics in the area of computer science, data analytics, machine learning and related areas
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eBook $139.00
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  • Due: 30 de enero de 2020
  • ISBN 978-981-15-2445-5
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Hardcover $179.99
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  • Due: 31 de enero de 2020
  • ISBN 978-981-15-2444-8
  • Free shipping for individuals worldwide
About this book

This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture.

 


About the authors

Siddesh G. M. is currently working as an Associate Professor at the Department of Information Science & Engineering, Ramaiah Institute of Technology, Bangalore. He received Bachelors and Masters Degrees in Computer Science and Engineering from the Visvesvaraya Technological University in 2003 and 2005, respectively, and his Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad, in 2014. He is a member of IEEE, ISTE, and IETE. He was the recipient of Seed Money to Young Scientist for Research (SMYSR) for 2014-15 from the Government of Karnataka’s Vision Group on Science and Technology (VGST). He has published numerous research papers in international journals and conferences. His research interests include distributed computing, grid/cloud computing, and IoT.   

S. R. Mani Sekhar received his M.Tech. degree from Bharathidasan University, Tiruchirappalli, and B.E. degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal. He is currently an Assistant Professor at the Department of Information Science & Engineering, Ramaiah Institute of Technology, Bangalore. He is a member of ISTE. He has published a numerous research papers and book chapters. His research interests include data science, data analytics, and software engineering & bioinformatics. 

Srinivasa K G was awarded a Ph.D. in Computer Science and Engineering from Bangalore University in 2007. He has received various awards, including the All India Council for Technical Education – Career Award for Young Teachers; Indian Society of Technical Education – ISGITS National Award for Best Research Work Done by Young Teachers; Institution of Engineers (India) – IEI Young Engineer Award in Computer Engineering; the ISTE’s Rajarambapu Patil National Award for Promising Engineering Teachers in 2012; and a Visiting Scientist Fellowship Award from IMS Singapore. He has published more than 100 research papers in international journals and conferences, and has authored three textbooks: File Structures using C++, Soft Computing for Data Mining Applications and Guide to High Performance Computing. He has also edited research books in the area of cyber-physical systems and energy-aware computing. He has been awarded a BOYSCAST Fellowship by the DST to conduct collaborative research with the Clouds Laboratory at the University of Melbourne. He is the Principal Investigator for several AICTE, UGC, DRDO, and DST funded projects. He is a senior member of IEEE and ACM. His research areas include data mining, machine learning, and cloud computing.

 

Table of contents (14 chapters)

Table of contents (14 chapters)

Buy this book

eBook $139.00
price for Mexico (gross)
  • Due: 30 de enero de 2020
  • ISBN 978-981-15-2445-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
Hardcover $179.99
price for Mexico
  • 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: 31 de enero de 2020
  • ISBN 978-981-15-2444-8
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
Editors
  • Srinivasa K G
  • Siddesh G M
  • S R Manisekhar
Series Title
Algorithms for Intelligent Systems
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-2445-5
DOI
10.1007/978-981-15-2445-5
Hardcover ISBN
978-981-15-2444-8
Series ISSN
2524-7565
Edition Number
1
Number of Pages
XII, 317
Topics