International Conference on Knowledge Engineering and the Semantic Web

Knowledge Engineering and Semantic Web pp 225-239

Pattern Mining and Machine Learning for Demographic Sequences

  • Dmitry I. Ignatov
  • Ekaterina Mitrofanova
  • Anna Muratova
  • Danil Gizdatullin
Conference paper

DOI: 10.1007/978-3-319-24543-0_17

Part of the Communications in Computer and Information Science book series (CCIS, volume 518)
Cite this paper as:
Ignatov D.I., Mitrofanova E., Muratova A., Gizdatullin D. (2015) Pattern Mining and Machine Learning for Demographic Sequences. In: Klinov P., Mouromtsev D. (eds) Knowledge Engineering and Semantic Web. Communications in Computer and Information Science, vol 518. Springer, Cham

Abstract

In this paper, we present the results of our first studies in application of pattern mining and machine learning techniques to analysis of demographic sequences in Russia based on data of 11 generations from 1930 to 1984. The main goal is not prediction and data mining methods themselves but rather extraction of interesting patterns and knowledge acquisition from substantial datasets of demographic data. We use decision trees as techniques for demographic events prediction and emergent patterns for searching significant and potentially useful sequences.

Keywords

Demographic sequences Sequence mining Emergent patterns Emergent sequences Decision trees Machine learning 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Dmitry I. Ignatov
    • 1
  • Ekaterina Mitrofanova
    • 1
  • Anna Muratova
    • 1
  • Danil Gizdatullin
    • 1
  1. 1.National Research University Higher School of EconomicsMoscowRussia

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