Handbook of Computational Social Science, Volume 2 Data Science, Statistical Modelling, and Machine Learning Methods

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Synopsis

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.
The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions.
With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

Book details

Series:
European Association of Methodology Series
Author:
Lars Lyberg, Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu
ISBN:
9781000448597
Related ISBNs:
9780367457808, 9781003025245, 9781032077703, 9780367457808, 9781003025245, 9781032077703, 9780367457808, 9781003025245, 9781032077703, 9780367457808, 9781003025245, 9781032077703
Publisher:
Taylor and Francis
Pages:
412
Reading age:
Not specified
Includes images:
No
Date of addition:
2021-11-11
Usage restrictions:
Copyright
Copyright date:
2022
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction, Psychology