Data Science and Intelligent Applications (eBook)

This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24-25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints.

The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike.            

 

Dr. Ketan Kotecha is a Director at Symbiosis Institute of Technology, Pune. In the course of a 25-year career, he has served in technical education leadership positions at some of the finest engineering institutions in India. Holding a Ph.D. (CE) from the IIT, Bombay, he has published more than 100 papers and filed three patents. He is a member of the Governing Council or Academic Council at various universities.

Dr. Vincenzo Piuri is a Professor at the University of Milan, Italy. He has published innovative results in more than 400 papers in international journals and conference proceedings. He has acted as IEEE Director, IEEE Fellow, IEEE-HNK member, ACM Scientist and INNS member. In the course of 20 years, he has served on the technical program committees of various international conferences and organized more than 100 conferences and workshops. He is an Honorary Professor at Obuda University, Budapest, Hungary, Guangdong University of Petrochemical Technology, China, Muroran Institute of Technology, Japan, and Amity University, India.

Dr. Hetalkumar N. Shah is a Director of Gandhinagar Institute of Technology, India. With more than 22 years of academic, administrative and industry experience, he has published more than 40 research papers in prominent national and international journals and conference proceedings. A member of e.g. the ISTE, AMM, IIPE and IEI, he is a recipient of a three-year Research Scholar Fellowship Award from the AICTE, New Delhi, and an International Travel Grant from the DST to Taiwan and Hong Kong. 

Dr. Rajan Patel is an Associate Professor at Gandhinagar Institute of Technology, Gandhinagar. He has more than 15 years of teaching experience in the field of Computer Engineering. A member of e.g. the CSI, ISTE and UACEE, he has authored more than 40 publications. He has also received numerous awards, honors and certificate of excellence.

 

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This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24-25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints.The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike.