Systems and Means of Informatics
2025, Volume 35, Issue 4, pp pp 143-153
AN APPROACH TO USING TIME SERIES ANALYSIS IN HYPOTHESES FORMING FOR CONCRETE HISTORICAL INVESTIGATION
- I. M. Adamovich
- O. I. Volkov
Abstract
The article is devoted to the development of means of concrete historical investigation supporting. The proposed approach allows one to determine the priority directions of information search by automatically forming the reasonable hypotheses. A special feature of the approach is its focus not on isolated historical facts but on the dynamics of the development of concrete historical processes. The approach is based on the methods of cluster analysis of time series. The article describes the features of time series reflecting information available in historical sources on changes in certain objects and phenomena in the past. The algorithms that best match these features have been identified. Special attention is paid to the definition of a specific similarity measure for such time series. An example of data reflecting the peculiarities of Old Believer entrepreneurship in the Russian Empire is considered in detail and it is shown how, using the described approach, it is possible to make an informed assumption about the assignment of the object of research to Old Believers.
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[+] About this article
Title
AN APPROACH TO USING TIME SERIES ANALYSIS IN HYPOTHESES FORMING FOR CONCRETE HISTORICAL INVESTIGATION
Journal
Systems and Means of Informatics
Volume 35, Issue 4, pp 143-153
Cover Date
2025-12-25
DOI
10.14357/08696527250410
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
concrete historical investigation; hypothesis formation; clustering; time series; similarity measure
Authors
I. M. Adamovich  and O. I. Volkov
Author Affiliations
 Federal Research Center "Computer Science and Control", Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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