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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    Order before 4pm today for delivery by Mon 29 Jun 2026.

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

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      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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