Data mining sociology

Experience and outlook for research

A. V. Maltseva, N. E. Shilkina, O. V. Mahnitkina

Research outputpeer-review

4 Citations (Scopus)

Abstract

Data Mining is useful tool and source of heuristic information for sociologists today. Nowadays society is much more complex than ever, with strong tendencies to generate new social phenomena, routine practices, patterns of thinking and behavior in all spheres of human activity. At the same time sociology faces a problem of huge increae of data and wider perspectives of information and knowledge extraction from this data (Big Data). All these aspects actualize optimal methodological instruments and sets of skills that permit scientists to analyze current society objectively and effectively. Data Mining requires cross-disciplinary skills to organize this kind of research. In the article we definite Data Mining as a number of mathematical methods of getting new knowledge from large sets of data (sources and volumes) with all special technological specifics for their collecting and processing. There are many Data Mining methods, so we describe most useful for sociological research ones: cluster analysis, decision trees, associate rules, logistic regression and neural networks. Very important part of Data Mining application is Data Warehouse building with operative analysis and visualization using of multy-measures tables (OLAP). Last part of the article covers a case of Data Mining application for analysis of labor market with the aim to describe structure of this object. We demonstrated all steps of data preparation, modeling and interpretation. Results of this analytical project permitted to describe situation in Altai krai labor market with regard to vacancies and applicants. Information gave scientists a unique opportunity to analyze objective side of social institutes, social structure dynamics.

Original languageEnglish
Pages (from-to)35-44
Number of pages10
JournalSotsiologicheskie Issledovaniya
Volume2016-January
Issue number3
Publication statusPublished - 1 Jan 2016
Externally publishedYes

Fingerprint

sociology
experience
labor market
data preparation
mathematical method
social research
cluster analysis
applicant
sociologist
neural network
social structure
visualization
heuristics
logistics
regression
interpretation
knowledge

Scopus subject areas

  • Sociology and Political Science

Cite this

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abstract = "Data Mining is useful tool and source of heuristic information for sociologists today. Nowadays society is much more complex than ever, with strong tendencies to generate new social phenomena, routine practices, patterns of thinking and behavior in all spheres of human activity. At the same time sociology faces a problem of huge increae of data and wider perspectives of information and knowledge extraction from this data (Big Data). All these aspects actualize optimal methodological instruments and sets of skills that permit scientists to analyze current society objectively and effectively. Data Mining requires cross-disciplinary skills to organize this kind of research. In the article we definite Data Mining as a number of mathematical methods of getting new knowledge from large sets of data (sources and volumes) with all special technological specifics for their collecting and processing. There are many Data Mining methods, so we describe most useful for sociological research ones: cluster analysis, decision trees, associate rules, logistic regression and neural networks. Very important part of Data Mining application is Data Warehouse building with operative analysis and visualization using of multy-measures tables (OLAP). Last part of the article covers a case of Data Mining application for analysis of labor market with the aim to describe structure of this object. We demonstrated all steps of data preparation, modeling and interpretation. Results of this analytical project permitted to describe situation in Altai krai labor market with regard to vacancies and applicants. Information gave scientists a unique opportunity to analyze objective side of social institutes, social structure dynamics.",
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Data mining sociology : Experience and outlook for research. / Maltseva, A. V.; Shilkina, N. E.; Mahnitkina, O. V.

In: Sotsiologicheskie Issledovaniya, Vol. 2016-January, No. 3, 01.01.2016, p. 35-44.

Research outputpeer-review

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