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Big data mining and complexity (Record no. 10313)

MARC details
000 -LEADER
fixed length control field	02322nam a2200229 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20251009193901.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	251009b \|\|\|\|\|\|\|\| \|\|\|\| 00\| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9781526423818
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	006.312
Item number	CAS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name	Castellani, Brian C.
245 ## - TITLE STATEMENT
Title	Big data mining and complexity
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc.	New Delhi
Name of publisher, distributor, etc.	Sage Publications India Pvt Ltd
Date of publication, distribution, etc.	2021
300 ## - PHYSICAL DESCRIPTION
Extent	xiv, 212 p.
365 ## - TRADE PRICE
Price type code	INR
Price amount	4083.22
490 ## - SERIES STATEMENT
Series statement	The Sage Quantitative Research Kit
500 ## - GENERAL NOTE
General note	Table of contents:<br/>Chapters<br/>Chapter 1: Introduction<br/>Part I: Thinking Critically and Complex<br/>Chapter 2: The Failure of Quantitative Social Science<br/>Chapter 3: What Is Big Data?<br/>Chapter 4: What Is Data Mining?<br/>Chapter 5: The Complexity Turn<br/>Part II: The Tools and Techniques of Data Mining<br/>Chapter 6: Case-Based Complexity: A Data Mining Vocabulary<br/>Chapter 7: Classification and Clustering<br/>Chapter 8: Machine Learning<br/>Chapter 9: Predictive Analytics and Data Forecasting<br/>Chapter 10: Longitudinal Analysis<br/>Chapter 11: Geospatial Modelling<br/>Chapter 12: Complex Network Analysis<br/>Chapter 13: Textual and Visual Data Mining<br/>Chapter 14: Conclusion: Advancing a Complex Digital Social Science<br/><br/>[https://methods.sagepub.com/book/mono/big-data-mining-and-complexity/toc]
520 ## - SUMMARY, ETC.
Summary, etc.	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.<br/><br/>(https://methods.sagepub.com/book/mono/big-data-mining-and-complexity/toc)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Data mining
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Big data
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name	Rajaram, Rajeev
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type	Book
Source of classification or shelving scheme	Dewey Decimal Classification

Holdings
Withdrawn status	Lost status	Source of classification or shelving scheme	Damaged status	Not for loan	Collection code	Bill No	Bill Date	Home library	Current library	Shelving location	Date acquired	Source of acquisition	Cost, normal purchase price	Total Checkouts	Full call number	Accession Number	Date last seen	Copy number	Cost, replacement price	Price effective from	Koha item type
		Dewey Decimal Classification			IT & Decisions Sciences	IN32489	20-09-2025	Indian Institute of Management LRC	Indian Institute of Management LRC	General Stacks	10/05/2025	Overseas Press India Private	2654.09		006.312 CAS	009019	10/05/2025	1	4083.22	10/05/2025	Book