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.
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