Data Mining for the Social Sciences
An Introduction
Nonfiction, Social & Cultural Studies, Social Science, Demography, Political Science, Politics, Economic Conditions
| Author: | Paul Attewell, David Monaghan | ISBN: | 9780520960596 |
| Publisher: | University of California Press | Publication: | April 30, 2015 |
| Imprint: | University of California Press | Language: | English |
| Author: | Paul Attewell, David Monaghan |
| ISBN: | 9780520960596 |
| Publisher: | University of California Press |
| Publication: | April 30, 2015 |
| Imprint: | University of California Press |
| Language: | English |
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.
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.
