DEEP LEARNING FOR DATA MINING: UNSUPERVISED FEATURE LEARNING AND REPRESENTATION

Srinivas Babu Ratnam Pursuing Master of Science in Data Science, University of Colorado Boulder, USA I have done Bachelors of Engineering in Electrical and Electronics Engineering from Andhra University, Visakhapatnam. I have around 20 years of experience in Software Development Life Cycle .During 20 years of my experience I worked as Developer, Lead, and Architect . I have experience in implementing projects in Cloud, AI/ML/Deep Learning, Blockchain,C RM,Big data at enterprise level. Published 3 research articles in Artificial Intelligence . Editor-in-chief of the textbook “ Introduction to Human Computers Interaction.“ I am a member of professional associations.

Jesús A. Coloma is a Computer Science professor at the School of Systems at Bolivar State University in Ecuador. He holds a degree in Computer Systems Engineering and a Master’s degree in Software Engineering from UNIR, and is currently pursuing a Master’s degree in Data Science. With over 10 years of experience in both private and public software development, Professor Coloma is a passionate advocate for open-source software and programming. His research focuses on the implementation of web and mobile applications in agriculture and livestock farming. In addition to his research, he teaches courses on software architecture, web programming, information technology, and software security. Outside of his academic work, Jesús enjoys cycling and spending time outdoors

Dr. Herison Surbakti is a highly accomplished educator and researcher with extensive experience in teaching and supervising undergraduate and postgraduate students in three different countries. Over the course of his career, which spans more than a decade, he has made significant contributions to academia in Indonesia, Malaysia, and Thailand. Dr. Surbakti’s expertise is widely recognized, evident through his numerous publications in esteemed refereed journals. In addition to his research work, Dr. Surbakti has actively participated in international conferences, where he has presented papers and contributed as a book editor and chapter author. His commitment to advancing knowledge is evident in his primary research focus, which lies in the domains of web-based health information systems and market business trend analytics, with a particular emphasis on data visualization. Dr. Surbakti’s research interests revolve around Data Analytics, Business Intelligence, and Knowledge Management. He is dedicated to exploring innovative approaches in these areas and seeks to bridge the gap between academia and industry. His expertise and passion for these fields make him a valuable asset to the academic community and an influential figure in the advancement of knowledge.

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 326 articles and 5 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.

Reviews

There are no reviews yet.

Add a review

Your email address will not be published. Required fields are marked *