DEEP LEARNING FOR DATA MINING: UNSUPERVISED FEATURE LEARNING AND REPRESENTATION

Mr. Srinivas Rao  Adabala is a Research Scholar in the department of Computer Science & AI at SR University,Warangal,Telangana State,India. He is a  Domain scholar in DATA SCIENCE by NPTEL(A Joint Initiative of IITs and IISc). He is having a rich experience in handling projects on AI,Machine Learning and Deep Learning. He is having an experience in the field of industry,teaching and Research over 18 years. His Research interests focus on the area of Machine Learning ,AI and Deep Learning.

Dr. Ravi Kumar, is currently working as an Associate Professor in Jaypee University of Engineering and Technology, Guna with an experience of more than 18 years. He has published 40 research papers in referred journals, 19 conference papers at International and National level, 7 patents with grant, 11 national and international level published patents and authored 4 books and a book chapter.  He is also editorial board member of many international journals and reviewer of various IEEE, Springer, Elsevier, Wiley and other international publisher’s journals. He has received IEEE Best Paper award in 2012 and currently co-opted as Executive Committee member of IETE, MP subsection.

Purvi Makwana working as Assistant Professor with Smt. K.D.M. Mahila Mahavidyalaya, affiliated to RTMNU. I have 8+ yrs. of experience in the Education Industry. I have also held the position of Centre Manger for Spoken English Academy.  worked as Advanced Level Coding Faculty for Leading Edtech Co., I have also been invited as Guest Faculty for MBA, Conducted various Communicative English course for School as well as UG Level Students. I have also presented papers in National & International Conferences of Repute.I hold a Masters Degree in  MBA – Marketing & IT,  from ICFAI Dehradun, Cleared UGC-NET – Management in 2017, PGDiploma Course in Data Science for Business Excellence from IIM-Nagpur in 2022.

Dr. Haewon Byeon received the DrSc degree in Biomedical Science from Ajou University School of Medicine. Haewon Byeon currently works at the Department of Medical Big Data, Inje University.  His recent interests focus on health promotion, AI-medicine, and biostatistics. He is currently a member of international committee for a Frontiers in Psychiatry, and an editorial board for World Journal of Psychiatry. Also, He were worked on a 4 projects (Principal Investigator) from the Ministry of Education, the Korea Research Foundation, and the Ministry of Health and Welfare. Byeon has published more than 343 articles and 19 books.

Description

The text has been written in simple language and style in well organized and systematic way and utmost care has been taken to cover the entire prescribed procedures for Science Students.

We express our sincere gratitude to the authors not only for their effort in preparing the procedures for the present volume, but also their patience in waiting to see their work in print. Finally, we are also thankful to our publishers Xoffencer Publishers, Gwalior, Madhya Pradesh for taking all the efforts in bringing out this volume in short span time.

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