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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Hlavní autori:	Attewell, Paul, Monaghan, David
Médium:	E-kniha Kniha
Jazyk:	English
Vydavateľské údaje:	Oakland, Calif University of California Press 2015
Vydanie:	1
Predmet:	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
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