Data Management, Analytics and Innovation

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Autorentext

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 Director of 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. Balas is the author of more than 300 research papers in refereed journals and international conferences. Her research interests include intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling and simulation. She is the editorin-chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and the International Journal of Computational Systems Engineering (IJCSysE), and is an editorial board member of several national and international journals.

Inhalt
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 Neural Network and Support Vector Machine.- A Hybrid and Adaptive Approach for Classification of Indian Stock Market Related Tweets.- Generative Adversarial Networks as an Advancement in 2D to 3D Reconstruction Techniques.- Impact of Artificial Intelligence on Human Resources.- Role of Activation functions and order of input sequences in Question-Answering.- GestTalk RealTime Gesture to Speech Conversion Glove.- Deep Learning Algorithms for Accurate Prediction of Image Description for E-Commerce Industry.- Taj-Shanvi framework for image fusion using Guided Filters.- Effective Classification & Handling of Incoming Data Packets in Mobile Adhoc Networks (MANETs) using Random Forest Ensemble Technique (RF/ET).- Community Structure Identification in Social Networks Inspired By Parliamentary Political Competitions.- An Integrated Technique to Ensure Confidentiality and Integrity in Data Transmission through the Strongest and Authentic Hotspot Selection Mechanism.- ML Model to Improve QoS for selection of healthy channel in Wireless Sensor Network.- Performance Analysis of the Mobile WSN for Efficient localization.