This book discusses various aspects of Big Data Analytics. It deliberates upon the tools, technology, applications, use cases and research directions in the field. Chapters are contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.
This book discusses various aspects of Big Data Analytics. It deliberates upon the tools, technology, applications, use cases and research directions in the field. Chapters are contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.
Prof Arun Somani is currently serving as Associate Dean for Research for College ofEngineering and Anson Marston Distinguished Professor of Electrical and Computer Engineering at Iowa State University. Professor Somani's research interests are in the areas of dependable and high-performance system design, algorithms, and architecture, wavelength-division multiplexing-based optical networking, and image-based navigation techniques. He has published more than 300 technical papers, several book chapters, and one book, and has supervised more than 70 MS and more than 35 PhD students. His research has been supported by several NSF-, industry- and DARPA-funded projects. He was the lead designer of an anti-submarine warfare system for Indian navy, Meshkin fault-tolerant computer system architecture for the Boeing Company, Proteus multi-computer cluster-based system for US Coastal Navy, and HIMAP design tool for the Boeing Commercial Company. He was awarded Distinguished Engineer member grade of ACM in 2006, and elected Fellow of IEEE in 1999 for his contributions to "theory and applications of computer networks." He also is elected as a Fellow of AAAS in 2012. Dr Ganesh Chandra Deka is currently Deputy Director in Directorate General of Training, Ministry of Skill Development & Entrepreneurship, Govt of India, New Delhi, India. His previous assignment includes, Assistant Director of Training in DGE&T, Ministry of Labor & Employment, Government of India, New Delhi-1 [2006-2014], Consultant (Computer Science], National Institute of Rural Development-North Eastern Regional Centre, Guwahati, Assam, under the Ministry of Rural Development [2003-2006], Govt of India and Programmer (World Bank Project) at Nowgong Polytechnic, Nagaon, Assam, India under the Directorate of Technical Education, Assam, India [1995-2003]. His research interests include ICT in Rural Development, e-Governance, Cloud Computing, Data Mining, NoSQL Databases and Vocational Education and Training. He has published more than 61 research papers in various conferences, workshops and International Journals of repute including IEEE. He is Editor-in-Chief of the International Journal of Computing, Communications, and Networking [ISSN 2319-2720]. So far he has organized 8 IEEE International Conference as Technical Chair in India. He is the member of editorial board and reviewer for various Journals and International conferences. He has authored 2 books on cloud computing and is the co-author of 3 textbooks on the fundamentals of computer science.
Inhaltsangabe
Challenges in Big Data. Challenges in Big Data Analytics. Bigdata Reference Model. A Survey of Big Data Analytics Tools. Understanding Data Science Behind Business Analytics. Big Data Predictive Modelling and Analytics. Deep Learning for Engineering Big Data analytics. A Framework for Minimising Data Leakage from Non-Production Systems. Big Data acquisition, preparation and analysis using Apache Software Foundation Projects. Storing and Analysing Streaming Data; A Big Data Challenge. Bigdata Cluster Analysis: A Study of Existing Techniques and Future Directions. Nonlinear feature extraction for Big Data Analytics. Enhanced Feature Mining and Classifier Models to predict Customer Churn for an E-retailer. Large-Scale Entity Clustering on Knowledge Graphs for Topic Discovery and Exploration. Big Data Analytics for Connected Intelligence with the Internet of Things. Bigdata, Internet traffic, and Website value co-creation. From hype to reflective practice-The possibilities and challenges of big data analysis in humanities research
Challenges in Big Data. Challenges in Big Data Analytics. Bigdata Reference Model. A Survey of Big Data Analytics Tools. Understanding Data Science Behind Business Analytics. Big Data Predictive Modelling and Analytics. Deep Learning for Engineering Big Data analytics. A Framework for Minimising Data Leakage from Non-Production Systems. Big Data acquisition, preparation and analysis using Apache Software Foundation Projects. Storing and Analysing Streaming Data; A Big Data Challenge. Bigdata Cluster Analysis: A Study of Existing Techniques and Future Directions. Nonlinear feature extraction for Big Data Analytics. Enhanced Feature Mining and Classifier Models to predict Customer Churn for an E-retailer. Large-Scale Entity Clustering on Knowledge Graphs for Topic Discovery and Exploration. Big Data Analytics for Connected Intelligence with the Internet of Things. Bigdata, Internet traffic, and Website value co-creation. From hype to reflective practice-The possibilities and challenges of big data analysis in humanities research
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