A Semi-supervised Learning Approach for Complex Information Networks -- Preventing Fake Accounts on Social Media using Face Recognition based on Convolutional Neural Network -- Feature-wise Opinion Summarization of Consumer Reviews using Domain Ontology -- Robust Automated Machine Learning (AutoML) System for Early Stage Hepatic Disease Detection -- Analytical Classification of Sybil Attack Detection Techniques -- Smart and Autonomous Door Unlocking System Using Face Detection and Recognition -- Early Detection of Diabetes by Iris Image Analysis -- A New Avenue to the Reciprocity Axioms of Multidimensional DHT through those of the Multidimensional DFT -- Automated Surveillance Security System using Facial Recognition for Homes and Offices.

This book solicits the innovative research ideas and solutions for almost all the intelligent data intensive theories and application domains. The proliferation of various mobile and wireless communication networks has paved way to foster a high demand for intelligent data processing and communication technologies. The potential of data in wireless mobile networks is enormous, and it constitutes to improve the communication capabilities profoundly. As the networking and communication applications are becoming more intensive, the management of data resources and its flow between various storage and computing resources are posing significant research challenges to both ICT and data science community. The general scope of this book covers the design, architecture, modeling, software, infrastructure and applications of intelligent communication architectures and systems for big data or data-intensive applications. In particular, this book reports the novel and recent research works on big data, mobile and wireless networks, artificial intelligence, machine learning, social network mining, intelligent computing technologies, image analysis, robotics and autonomous systems, data security and privacy. .