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.

Autorentext
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 is a life member of several societies, e.g. the IEEE, IAENG (Hong Kong) etc.
Dr. Danilo Pelusi is an Associate Professor at the Faculty of Communication Sciences, University of Teramo, Italy, where he also received his Ph.D. in Computational Astrophysics in 2006. His current research interests include Information Theory, Fuzzy Logic, Neural Networks and Evolutionary Algorithms. He is an Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence and IEEE Access, and has served as a guest editor for several Inderscience and Springer journals.

Inhalt
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.- Prediction of Arteriovenous Nicking for Hypertensive Retinopathy using Deep Learning.- Evolutionary Games for Cloud, Fog and Edge Computing A Comprehensive Study.