Data mining for the social sciences an introduction

We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible...

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Bibliographic Details
Main Authors: Attewell, Paul, Monaghan, David
Format: eBook Book
Language:English
Published: Oakland, Calif University of California Press 2015
Edition:1
Subjects:
analyzing data
bayesian networks
big data
bootstrapping
business analytics
chaid
classification and regression trees
classification trees
confusion matrix
data analysis
Data mining
Data processing
data scholarship
data science
Demography
hardware for data mining
heteroscedasticity
naive bayes
partition trees
permutation tests
Political Science
POLITICAL SCIENCE / General
POLITICAL SCIENCE / Political Economy
Population Studies
scholarly data
SOCIAL SCIENCE
SOCIAL SCIENCE / Demography
Social sciences
Social sciences > Data processing
Social sciences > Statistical methods
social scientists
software for data mining
Statistical methods
statistical modeling
studying data
text mining
vif regression
weka
confusion matrix
data scholarship
software for data mining
data mining
social scientists
weka
analyzing data
chaid
data science
naive bayes
studying data
hardware for data mining
partition trees
statistical modeling
text mining
big data
bayesian networks
vif regression
data analysis
data processing
permutation tests
scholarly data
business analytics
social science
bootstrapping
heteroscedasticity
classification and regression trees
statistical methods
classification trees
ISBN:9780520280984, 9780520960596, 0520960599, 9780520280977, 0520280989, 0520280970
Online Access:Get full text
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Description
Summary:We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages.
Bibliography:Bibliography: p. 239-244
Includes index
ISBN:9780520280984
9780520960596
0520960599
9780520280977
0520280989
0520280970
DOI:10.1525/9780520960596