Description

Book Synopsis

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.



Table of Contents

Preface

Editors

Contributors

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

Index

The Human Element of Big Data

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£114.00

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A Hardback by Geetam S. Tomar, Narendra S. Chaudhari, Robin Singh Bhadoria

1 in stock


    View other formats and editions of The Human Element of Big Data by Geetam S. Tomar

    Publisher: Taylor & Francis Inc
    Publication Date: 30/09/2016
    ISBN13: 9781498754156, 978-1498754156
    ISBN10: 1498754155

    Description

    Book Synopsis

    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.



    Table of Contents

    Preface

    Editors

    Contributors

    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

    Index

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