Computational Intelligence in Data Mining, 1st ed. 2020 Proceedings of the International Conference on ICCIDM 2018 Advances in Intelligent Systems and Computing Series, Vol. 990
Langue : Anglais
Coordonnateurs : Behera Himansu Sekhar, Nayak Janmenjoy, Naik Bighnaraj, Pelusi Danilo
This proceeding discuss the latest solutions, scientific findings and methods for solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. This gathers outstanding papers from the fifth International Conference on ?Computational Intelligence in Data Mining? (ICCIDM), and offer a ?sneak preview? of the strengths and weaknesses of trending applications, together with exciting advances in computational intelligence, data mining, and related fields.
Cluster Validity using Modified Fuzzy Silhouette Index on Large Dynamic Data Set.- Graph Based Crime Reports Clustering using Relations Extracted from Named Entities.- A Comprehensive Analysis of Kernelized Hybrid Clustering Algorithms With Firefly and Fuzzy Firefly Algorithms.- A Novel Position Concealment Audio Steganography in Insensible Frequency.- Improving Stock Market Prediction through Linear Combiners of Predictive Models.- Optimizing Generalized Capacitated Vehicle Routing problem using Augmented Savings Algorithm.- Prevention of Ethnic Violence and Riots using Supervised Rumor Detection.- Survey on Plagiarism Detection Systems and their Comparison.- A Generic Frame Work for Data Analysis in Privacy Preserving Data Mining.- Big Data Mining Algorithms for Predicting Dynamic Product Price by Online Analysis.- Short Term Solar Energy Forecasting By using Fuzzy Logic and ANFIS.- An Effective Trajectory Planning for a Material Handling Robot using PSO Algorithm.- Predictionof Arteriovenous Nicking for Hypertensive Retinopathy using Deep Learning.- Evolutionary Games for Cloud, Fog and Edge Computing – A Comprehensive Study.
Dr. Himansu Sekhar Behera is an Associate Professor & Head of the Department at the Department of Information Technology, VSSUT, Burla, Odisha, India. He has published more than 80 research papers in various international journals and conference proceedings, edited 11 books, and serves on the Editorial/Reviewer Board of various international journals. His research interests include Data Mining and Intelligent Computing. He is associated with various educational and research societies, e.g. the OITS, ISTE, SMIAENG, SMCSTA etc.
Dr. Janmenjoy Nayak is an Associate Professor & Head of the Department at the Department of Computer Science & Engineering, Sri Sivani College of Engineering, Srikakulam, India. He was awarded an INSPIRE Fellowship by the DST, Government of India to pursue his doctoral research at the VSSUT, Burla, India. He has published more than 50 research papers in various reputed peer-reviewed journals and conference proceedings. He is the recipient of the Best Researcher Award from the JNTU, Kakinada (2018) and the Young Faculty in Engineering Award from Venus International Foundation (2017). With more than eight years of teaching and research experience, his research interests include Data Mining, Nature Inspired Algorithms and Soft Computing. He is an active reviewer for various reputed peer-reviewed journals, e.g. IEEE, IET, Elsevier, Springer and Inderscience journals. Further, Dr. Nayak is a life member of several societies, e.g. the IEEE, CSI India, IAENG (Hong Kong) etc.
Dr. Bighnaraj Naik is an Assistant Professor at the Department of Computer Application, Veer Surendra Sai University of Technology, Burla, India. He has published more than 50 research papers in prominent journals and conference proceedings. With more than eight years of teaching experience in the field of Computer Science and Information Technology, Dr. Naik’s research interests include Data Mining and Soft Computing.He
Contains current research issues of developments of soft computing, data mining and computational intelligence Presents applications of current issues of research in green computing, big data analysis and nature inspired computing Introduces attractive resource to meet new research challenges and problem findings in data mining
Date de parution : 08-2019
Ouvrage de 801 p.
15.5x23.5 cm
Thème de Computational Intelligence in Data Mining :
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