Paper Info
Title
Generating Fuzzy Linguistic Summaries for Menstrual Cycles
Abstract
This paper presents a method of generating linguistic summaries of women’s menstrual cycles based on the set of concepts describing various aspects of the cycles. These concepts enable description of menstrual cycles that are readable for humans, but they also provide high-level information that can be used as control input for other data processing actions such as e.g. anomaly detection. The labels signifying these concepts are assigned to cycles by means of multivariate time series analysis. The corresponding algorithm is a subsystem of a bigger solution created as a part of an R&D project.
Year
DOI
Venue
2020
10.15439/2020F202
2020 15th Conference on Computer Science and Information Systems (FedCSIS)
DocType
ISBN
Citations 
Conference
978-83-955416-7-4
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Łukasz Sosnowski100.34
Tomasz Penza200.34