1st Edition

The Human Element of Big Data Issues, Analytics, and Performance

    363 Pages 123 B/W Illustrations
    by Chapman & Hall

    363 Pages 123 B/W Illustrations
    by Chapman & Hall

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    The proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data.




    Section I Introduction to the Human Element of Big Data: Definition, New Trends, and Methodologies

    1 Taming the Realm of Big Data Analytics: Acclamation or Disaffection?

    Audrey Depeige

    2 Fast Data Analytics Stack for Big Data Analytics

    Sourav Mazumder

    3 Analytical Approach for Big Data in the Internet of Things

    Anand Paul, Awais Ahmad, and M. Mazhar Rathore

    4 Analysis of Costing Issues in Big Data

    Kuldeep Singh Jadon and Radhakishan Yadav

    Section II Algorithms and Applications of Advancement in Big Data

    5 An Analysis of Algorithmic Capability and Organizational Impact

    George Papachristos and Scott W. Cunningham

    6 Big Data and Its Impact on Enterprise Architecture

    Meena Jha, Sanjay Jha, and Liam O’Brien

    7 Supportive Architectural Analysis for Big Data

    Utkarsh Sharma and Robin Singh Bhadoria

    8 Clustering Algorithms for Big Data: A Survey

    Ankita Sinha and Prasanta K. Jana

    Section III Future Research and Scope for the Human Element of Big Data

    9 Smart Everything: Opportunities, Challenges, and Impact

    Siddhartha Duggirala

    10 Social Media and Big Data

    Richard Millham and Surendra Thakur

    11 Big Data Integration, Privacy, and Security

    Rafael Souza and Chandrakant Patil

    12 Paradigm Shifts from E-Governance to S-Governance

    Akshi Kumar and Abhilasha Sharma

    Section IV Case Studies for the Human Element of Big Data: Analytics and Performance

    13 Interactive Visual Analysis of Traffic Big Data

    Zhihan Lv, Xiaoming Li, Weixi Wang, Jinxing Hu, and Ling Yin

    14 Prospect of Big Data Technologies in Healthcare

    Raghavendra Kankanady and Marilyn Wells

    15 Big Data Suite for Market Prediction and Reducing Complexity Using Bloom Filter

    Mayank Bhushan, Apoorva Gupta, and Sumit Kumar Yadav

    16 Big Data Architecture for Climate Change and Disease Dynamics

    Daphne Lopez and Gunasekaran Manogaran



    Dr. Geetam Singh Tomar, received his UG from Institute of Engineers Calcutta, PG from REC Allahabad, and Ph. D. from RGPV Bhopal in electronics engineering has also completed Post-Doctoral in Computer Engineering from University of Kent, Canterbury, UK. He is the Director of Machine Intelligence Research Labs, Gwalior, India and also Director Shri Ram College of Engineering and Management, Gwalior. Prior to this he served in Indian Air Force, MITS Gwalior, IIITM Gwalior and other institutes. He also served at University of Kent UK and University of West Indies Trinidad. He received International Plato award for academic excellence in 2009 from IBC Cambridge UK. He was listed in 100 top academicians of the world in 2009 and 2013 and was listed in who is who in the world for 2008 and 2009. He has organized more than 20 IEEE International conferences in India and other countries. He is member of IEEE/ISO working groups to finalize protocols. Delivered Keynote in many conferences abroad. He is chief editor of 5 International Journals and has 01 patent, published 75 research papers in international journals and 75 papers in IEEE conferences and has written 06 books, and 05 book chapters in CRC and IGI USA. Has more than 100 citations per year. He is associated with many other universities abroad as visiting professor.

    Dr. Ganesh Chandra Deka is the Principal, Regional Vocational Training Institute for Women, Tura, Meghalaya, under DGE&T, Ministry of Labor & Employment, Govt of India. He is also holding the additional charge of Principal, Regional Vocational Training Institute for Women, Agartala Tripura, under DGE&T, Ministry of Labor & Employment, Govt of 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, 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 57 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 organised 6 IEEE International Conference as Technical Chair in India. He is the member of editorial board and reviewer for various Journals and International conferences. He is the co-author for 3 text books in fundamentals of computer science. He is Co-editor with Pethuru Raj of the "Handbook of Research on Cloud Infrastructures for Big Data Analytics (IGI Global, USA, 2014)" and Chief Editor of the "Handbook of Research on Securing Cloud-Based Databases with Biometric Applications (IGI Global, USA, 2015)". He has 3 years Polytechnic Diploma in Computer Engineering from Assam Engineering Institute, under State Council for Technical