This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.
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A Study of the Correlation Between Internet Addiction and Aggressive Behaviour Among the Namibian University Students |
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1 | (10) |
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Genetic Algorithm Approach for Optimization of Biomass Estimation at LiDAR |
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11 | (18) |
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E-alive: An Integrated Platform Based on Machine Learning Techniques to Aware and Educate Common People with the Current Statistics of Maternal and Child Health Care |
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29 | (14) |
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An Effective TCP's Congestion Control Approach for Cross-Layer Design in MANET |
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43 | (14) |
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Baron-Cohen Model Based Personality Classification Using Ensemble Learning |
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57 | (10) |
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Investigation of MANET Routing Protocols via Quantitative Metrics |
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67 | (14) |
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Review on Internet Traffic Sharing Using Markov Chain Model in Computer Network |
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81 | (18) |
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Anomaly Detection Using Dynamic Sliding Window in Wireless Body Area Networks |
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99 | (10) |
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Effective Healthcare Services by IoT-Based Model of Voluntary Doctors |
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109 | (8) |
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Emotional State Recognition with EEG Signals Using Subject Independent Approach |
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117 | (8) |
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Development of Early Prediction Model for Epileptic Seizures |
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125 | (14) |
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Research Issue in Data Anonymization in Electronic Health Service: A Survey |
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139 | (10) |
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Prediction of Cervical Cancer Based on the Life Style, Habits, and Diseases Using Regression Analysis Framework |
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149 | (20) |
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Novel Outlier Detection by Integration of Clustering and Classification |
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169 | (8) |
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A Review of Wireless Charging Nodes in Wireless Sensor Networks |
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177 | (12) |
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Leeway of Lean Concept to Optimize Big Data in Manufacturing Industry: An Exploratory Review |
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189 | (12) |
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Monitoring Public Participation in Multilateral Initiatives Using Social Media Intelligence |
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201 | (14) |
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An Efficient Context-Aware Music Recommendation Based on Emotion and Time Context |
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215 | (14) |
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Implementation of Improved Energy-Efficient FIR Filter Using Reversible Logic |
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229 | (10) |
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A Study on Benefits of Big Data for Healthcare Sector of India |
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239 | (8) |
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Handling Uncertainty in Linguistics Using Probability Theory |
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247 | (8) |
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Review of Quality of Service Based Techniques in Cloud Computing |
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255 | (12) |
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Skyline Computation for Big Data |
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267 | (10) |
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Human Face Detection Enabled Smart Stick for Visually Impaired People |
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277 | (14) |
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Web-Based Service Recommendation System by Considering User Requirements |
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291 | (12) |
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Unsupervised Machine Learning for Clustering the Infected Leaves Based on the Leaf-Colors |
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303 | (10) |
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Real-Time Big Data Analysis Architecture and Application |
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313 | (8) |
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Missing Value Imputation in Medical Records for Remote Health Care |
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321 | (12) |
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Recommendation Framework for Diet and Exercise Based on Clinical Data: A Systematic Review |
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333 | (14) |
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Security Assessment of SAODV Protocols in Mobile Ad hoc Networks |
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347 | (10) |
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Secure Sum Computation Using Homomorphic Encryption |
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357 | (8) |
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Automated Workload Management Using Machine Learning |
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365 | (14) |
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Multi-user Detection in Wireless Networks Using Decision Feedback Signal Cancellation |
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379 | (10) |
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ANN-Based Predictive State Modeling of Finite State Machines |
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389 | (1) |
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Deep Dive Exploration of Mixed Reality in the World of Big Data |
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389 | (16) |
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| Author Index |
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405 | |
Dr. Durgesh Kumar Mishra is a Professor (CSE) and Director of the Microsoft Innovation Centre at Sri Aurobindo Institute of Technology, Indore, India and visiting faculty at IIT-Indore. He has 24 years of teaching and 12 years of research experience. He has published more than 90 papers in refereed international/national journals and conferences including IEEE, ACM conferences and organized many conferences as General Chair and Editor. He is a Senior Member of the IEEE, CSI, ACM, Chairman IEEE MP Subsection, IEEE Computer Society Bombay Chapter. At present he is Chairman of CSI Division IV Communication at the National Level and ACM Chapter Rajasthan and MP State.
Prof. Xin-She Yang is an Associate Professor of Simulation Modelling at Middlesex University, London. Prof. Yangs main interests are applied mathematics, algorithm development,computational intelligence, engineering optimisation, mathematical modelling, optimisation and swarm intelligence. His research projects have been supported by the National Measurement Office, BIS, Southwest Development Agency (UK), Euro Met, EPSRC, NPL, and the National Science Foundation of China. He is EEE CIS Task Force Chair of the BIKM, Technical Committee of Computational Finance and Economics of IEEE Computational Intelligence Society; Advisor to the International Journal of Bio-Inspired Computation; Editorial Board Member of Elseviers Journal of Computational Science; and Editor-in-Chief of the International Journal of Mathematical Modelling and Numerical Optimisation.
Dr. Aynur Unal is a Strategic Adviser & Visiting Full Professor at the IIT Guwahati, India. She has created a product-focused engineering program using the cloud-based infrastructure. Her maininterests include Ecologically and socially responsible engineering, Zero waste Initiative and Sustainable Green Engineering. Her research focuses on both rural and urban sustainable development, renewable energy, solar towers and pumps. She has taught at Stanford University, and worked in Silicon Valley to develop products for data mining from big data (Triadas Athena I & II), Collaborative Design and Manufacturing, secure and private communication, and collaboration software platforms (Amteus, listed in LSE AIM)
