Evolution in Computational Intelligence

This book presents the proceedings of 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), which aims to bring together researchers, scientists, engineers and practitioners to share new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. The book is divided into two volumes: Evolution in Computational Intelligence (Volume 1) and Intelligent Data Engineering and Analytics (Volume 2).
Covering a broad range of topics in computational intelligence, the book features papers on theoretical as well as practical aspects of areas such as ANN and genetic algorithms, computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines.

Presents research in the field of intelligent computing Features the proceedings of FICTA 2020, held at NIT Surathkal, India Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext

Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow. His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has around 150 quality publications in various international journals and conference proceedings. He has edited more than 25 volumes of conference proceedings with Springer Nature (AISC,SIST,LNEE, LNNS Series). He is associate editor of IJSE and IJRSDA.and presently EiC of IJNCR journal under IGI Global.
Sheng-Lung Peng is a Professor at the Department of Computer Science and Information Engineering at National Dong Hwa University, Hualien, Taiwan. He is also a supervisor at the Chinese Information Literacy Association, and the Association of Algorithms and Computation Theory. His research interests include designing and analyzing algorithms for bioinformatics, combinatorics, data mining and networks. He has edited several special issues in respected journals and published more than 100 international conference and journal papers. Suresh Chandra Satapathy is a Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. His research interests include machine learning, data mining, and swarm intelligence studies and their applications to engineering. He has published over 140 publications in various respected international journals and conference proceedings. He has edited several volumes of AISC, LNEE and SIST, and is a senior member of IEEE and life member of the Computer Society of India.
Yu-Dong Zhang received his Ph.D. degree from Southeast University, China, in 2010. From 2010 to 2013, he worked as a post-doc and then as a research scientist at Columbia University, USA. He served as a Professor at Nanjing Normal University from 2013 to 2017, and is currently a Full Professor at the University of Leicester, UK. His research interests include deep learning in communication and signal processing, and medical image processing.

Inhalt
Faster Result Retrieval from Health Care Product Sales Data Warehouse using Materialized Queries.- Feature Selection using Ant Colony Optimization and Weighted Visibility Graph.- From Generic to Custom: A Survey on Role of Machine Learning in Pharmacogenomics, Its Applications and Challenges.- Personalized Structure Balance Theory Based Movie Recommendation System.- Machine Learning Techniques for the Investigation of Phishing Websites