Title
Automatic Identification of Skills' Dependency
Abstract
Paper introduces a new approach of extracting relation interdependences of human skills hidden in large data sets. The dependence is presented by If-Then fuzzy rules. It is enable both to grasp the relation and to account for the appeared expertise levels. The theoretical achievements are proved by detecting dependencies between different types of sport skills. The extracted knowledge is useful in managing and selecting a successful play team.
Year
DOI
Venue
2019
10.1145/3351556.3351580
Proceedings of the 9th Balkan Conference on Informatics
Keywords
Field
DocType
Fuzzy Clustering, Rules Automatic Generation, Skill Dependency, Soft Computing
Fuzzy clustering,Data mining,Data set,GRASP,Computer science,Fuzzy logic,Soft computing
Conference
ISBN
Citations 
PageRank 
978-1-4503-7193-3
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Plamen Nachev100.34
Olga Georgieva200.34
Lefteris Angelis3129682.51