Выявление знаний в демографических последовательностях

С. 9601–9615.

Muratova A., Gizdatullin D., Ignatov D. I., Mitrofanova E.

In this paper, we summarize the results of recent studies on the application of pattern mining and machine learning to the analysis of demographic sequences. The main goal is the demonstration of demographers’ needs, including next-event prediction and the extraction of interesting patterns from substantial datasets of demographic data, which cannot be handled by conventional demographic techniques. We use decision trees as a technique for demographic event prediction, and emerging sequential patterns and pattern structures for discovering relevant interpretable sequences. The emerging problem statements and positive prospects of the usage of pattern mining in the demography domain are worth dissemination in the data mining community.

Keywords: decision trees, pattern structures, анализ последовательностей, Emerging patterns, Demographic sequences, Sequence mining, деревья решений, демографические последовательности

Publication based on the results of: Разработка и апробация методик анализа демографических последовательностей (2016)

In book

Социология и общество: социальное неравенство и социальная справедливость (Екатеринбург , 19-21 октября 2016 года). Материалы V Всероссийского социологического конгресса

М.: Российское общество социологов, 2016.