Data Management, Analytics and Innovation

Sequence Mining Based Support Vector Machine with Decision Tree Approach for Efficient Time Series Data Classification.- Identifying Phishing through Web Content and addressed Bar-Based Features.- A Unified Framework for Outfit Design and Advice.- Contextual Relevance of ICT-Call Modules and its Role in Promoting Employability Skills among Engineering Students - A Study.- A Clinically Applicable Automated Risk Classification model for Pulmonary Nodules.- A Generalized Ensemble Machine Learning Approach for Landslide Susceptibility Modeling.- Comparative evaluation of AVIRIS-NG and Hyperion hyperspectral image for mineral identification.- Real-Time Scheduling Approach for IoT based Home Automation System.- Floating car data map-matching utilizing Dijkstra algorithm.- Calculating AQI using Secondary Pollutants for Smart Air Management System.- Enhanced Prediction of Heart Disease using Particle Swarm Optimization and Rough Sets with Transductive Support Vector Machines Classifier.- DataCan: Robust approach for Genome Cancer Data Analysis.- DataAutism: An Early Detection Framework of Autism in Infants using Data Science.- AnaBus: A Proposed Sampling Retrieval Model for Business and Historical Data Analytics.- Abrupt Scene Change Detection using block based Local Directional Pattern.- A FRAMEWORK FOR WEB ARCHIVING AND GUARANTEED RETRIEVAL.- Business Intelligence through Big Data Analytics, Data Mining and Machine Learning.- The Effect of Big Data on the Quality of Decision-Making in Abu Dhabi Government Organisations.- The Impact of Technology Readiness on the Big Data Adoption among UAE Organizations.- Sports Data Analytics : A Case Study of Off-field Behavior of Players using Statistical Approach.- Phrase Based Information Retrieval Analysis in Various Search Engines Using Machine Learning Algorithms.- The Politics of Artificial Intelligence Behaviour and Human Rights Violation Issues in 2016 US Presidential Elections: An Appraisal.- Crop Prediction Using Artificial

Neha Sharma is the Founder Secretary of the Society for Data Science, India. She was the Director of the Zeal Institute of Business Administration, Computer Application & Research, Pune, Maharashtra, India, and and Deputy Director, of the Padmashree Dr. D.Y.Patil Institute of Master of Computer Applications, Akurdi, Pune. She completed her PhD at the prestigious Indian Institute of Technology (IIT-ISM), Dhanbad, and she is a Senior IEEE member as well as Execom member of IEEE Pune Section. She has published numerous research papers in respected international journals. She received the "Best PhD Thesis Award" and "Best Paper Presenter at International Conference Award" from the Computer Society of India. Her areas of interest include data mining, database design, analysis and design, artificial intelligence, big data, cloud computing, blockchain and data science.Amlan Chakrabarti currently the Dean of the Faculty of Engineering and Technology, Professor and Directorof the A.K.Choudhury School of Information Technology, University of Calcutta, India. He was a postdoctoral fellow at the School of Engineering, Princeton University, USA from 2011 to 2012. He has published around 130 research papers in refereed journals and conferences, and has been involved in research projects supported by various national funding agencies and international collaborations. He is a senior member of the IEEE and ACM, ACM Distinguished Speaker, Vice President of the Society for Data Science, and Secretary of the IEEE CEDA India Chapter. His research interests include quantum computing, VLSI design, embedded system design, computer vision and analytics.



Valentina Emilia Balas is currently a Full Professor at the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr.