Pattern Mining and Machine Learning for Demographic Sequences

被引：3

作者：

Ignatov, Dmitry I. ^{[1
]}

Mitrofanova, Ekaterina ^{[1
]}

Muratova, Anna ^{[1
]}

Gizdatullin, Danil ^{[1
]}

机构：

[1] Natl Res Univ Higher Sch Econ, Moscow, Russia

来源：

KNOWLEDGE ENGINEERING AND SEMANTIC WEB, KESW 2015 | 2015年 / 518卷

关键词：

Demographic sequences; Sequence mining; Emergent patterns; Emergent sequences; Decision trees; Machine learning; SEQUENTIAL PATTERNS; WOMENS WORK; LIFE-COURSE;

D O I：

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

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：225 / 239

页数：15

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