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Big data mining and complexity / Brian C. Castellani and Rajeev Rajaram.

By: Contributor(s): Material type: TextTextPublisher: Los Angeles : SAGE, 2021Description: xiv, 212 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781526423818
Subject(s): DDC classification:
  • 006.312 C276b 23
LOC classification:
  • QA76.9.B45 .C37 2021
Contents:
Introduction -- Part I. Thinking critically and complex -- The failure of quantitative social science -- What is big data -- What is data mining -- The complexity turn -- Part II. The tools and techniques of data mining -- Case-based complexity: a data mining vocabulary -- Classification and clustering -- Machine learning -- Predictive analytics and data forecasting -- Longitudinal analysis -- Geospatial modelling -- Complex network analysis -- Textual and visual data mining -- Conclusion: advancing a complex digital social science.
Summary: "This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research - A critical review of data mining and 'big data' from a complexity science perspective, including its future potential and limitations - A practical exploration of the challenges of putting together and managing a 'big data' database - An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations of all data mining techniques. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey."-- From publisher's website.Summary: "This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research; A critical review of data mining and ‘big data’ from a complexity science perspective, including its future potential and limitations; A practical exploration of the challenges of putting together and managing a ‘big data’ database; An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations of all data mining techniques. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey"-- Back cover.
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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Books Books Main Library Circulation Section CIR 006.312 C276b 2021 (Browse shelf(Opens below)) 1-1 Available 031349

Includes bibliographical references and index.

Introduction -- Part I. Thinking critically and complex -- The failure of quantitative social science -- What is big data -- What is data mining -- The complexity turn -- Part II. The tools and techniques of data mining -- Case-based complexity: a data mining vocabulary -- Classification and clustering -- Machine learning -- Predictive analytics and data forecasting -- Longitudinal analysis -- Geospatial modelling -- Complex network analysis -- Textual and visual data mining -- Conclusion: advancing a complex digital social science.

"This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research - A critical review of data mining and 'big data' from a complexity science perspective, including its future potential and limitations - A practical exploration of the challenges of putting together and managing a 'big data' database - An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations of all data mining techniques. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey."-- From publisher's website.

"This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide:
Digestible overviews of key terms and concepts relevant to using social media data in quantitative research; A critical review of data mining and ‘big data’ from a complexity science perspective, including its future potential and limitations; A practical exploration of the challenges of putting together and managing a ‘big data’ database; An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations of all data mining techniques.
Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey"-- Back cover.

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