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Data Mining for the Social Sciences

An Introduction

Paul Attewell, David Monaghan

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Geisteswissenschaften, Kunst, Musik / Pädagogik

Beschreibung



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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Schlagwörter

text mining, software for data mining, weka, data mining, analyzing data, chaid, scholarly data, data analysis, permutation tests, bootstrapping, social scientists, statistical modeling, confusion matrix, data scholarship, vif regression, data science, hardware for data mining, naive bayes, studying data, big data, heteroscedasticity, bayesian networks, business analytics, classification trees, statistical methods, classification and regression trees, partition trees, social science, data processing