Machine Learning Techniques for Improved Business Analytics (Advances in Business Information Systems and Analytics)

ISBN 10: 1522535349 / ISBN 13: 9781522535348

Published by Business Science Reference, 2018

About this Item

Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

Seller Inventory # ZEV.1522535349.G

Bibliographic Details

• Title: Machine Learning Techniques for Improved Business Analytics (Advances in Business Information Systems and Analytics)
• Publisher: Business Science Reference
• Publication Date: 2018
• Language: English
• ISBN 10: 1522535349
• ISBN 13: 9781522535348
• Binding: Hardcover
• Condition: good

About this title

Synopsis

"This book provides the information on the machine learning techniques that can be in business problems in efficient way. It encourages the data Scientists to take a proactive attitude toward applying machine learning techniques in business. It increasesevolutionary computation awareness in Machine Learning by providing a clear direction for applying machine learning techniques in Business Industry"--

About the Author

Dileep Kumar G was born in 1982, in India. He has got B.Tech in Computer Science & Engineering and M.Tech in Software Engineering degrees from Jawaharlal Nehru Technology University, Hyderabad, India, in 2000 and in 2009. He is pursuing a PhD degree in Computer Science from Jawaharlal Nehru Technology University, Hyderabad, India. Currently he is an Assistant Professor in the Department of Computing, Adama Science and Technology University, Adama, Ethiopia. He has authored more than 20 publications in international journals, books chapters, and refereed international conference proceedings. He has also authored the book Data structures Through C++(ISBN: 978-81-8487-488-4, Narosa Publications,2015). His research interests include Network Security, Data Mining, Mobile Adhoc Networks, Grid Computing and Big Data. He is a Member of ACM and Life Member of ISTE and Senior Member of IEEE.