Big data mining and complexity

By:

Castellani, Brian C

Contributor(s):

Rajaram, Rajeev

Material type: Text

TextSeries: The Sage Quantitative Research KitPublication details: New Delhi Sage Publications India Pvt Ltd 2021Description: xiv, 212 pISBN:

9781526423818

Subject(s):

DDC classification:

006.312 CAS

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. (https://methods.sagepub.com/book/mono/big-data-mining-and-complexity/toc)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.312 CAS (Browse shelf(Opens below))	1	Available		009019

Table of contents:
Chapters
Chapter 1: Introduction
Part I: Thinking Critically and Complex
Chapter 2: The Failure of Quantitative Social Science
Chapter 3: What Is Big Data?
Chapter 4: What Is Data Mining?
Chapter 5: The Complexity Turn
Part II: The Tools and Techniques of Data Mining
Chapter 6: Case-Based Complexity: A Data Mining Vocabulary
Chapter 7: Classification and Clustering
Chapter 8: Machine Learning
Chapter 9: Predictive Analytics and Data Forecasting
Chapter 10: Longitudinal Analysis
Chapter 11: Geospatial Modelling
Chapter 12: Complex Network Analysis
Chapter 13: Textual and Visual Data Mining
Chapter 14: Conclusion: Advancing a Complex Digital Social Science

[https://methods.sagepub.com/book/mono/big-data-mining-and-complexity/toc]

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.

(https://methods.sagepub.com/book/mono/big-data-mining-and-complexity/toc)

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