Abstract
Knowledge discovery information was analyzed in references regarding the health area. The problem is the lack of a generalized classification of cancer-based on fuzzy predicates, the challenge is the extraction of information from a data set. The objective is to perform a fuzzy predicate based on cancer knowledge discovery analysis to find time optimization of data and results. Empirical - analytical research with a quantitative approach was applied, its method is quasi-experimental and the technique of sampling a specific group of references was used. The application of materials resulted in an Analysis of the relationship between variables, a correlation between Monoplot, and Similarities between observations. It was concluded that the discovery of knowledge generates new quantitative information on the correlations between the attributes belonging to a data set; We use Principal Component Analysis which is a knowledge-based model to analyze positive or negative correlations between attributes or variables.
Original language | English |
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Title of host publication | Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021 |
Editors | Tareq Z. Ahram, Waldemar Karwowski, Jay Kalra |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 242-250 |
Number of pages | 9 |
ISBN (Print) | 9783030806231 |
DOIs | |
State | Published - 2021 |
Event | AHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021 - Virtual, Online Duration: 25 Jul 2021 → 29 Jul 2021 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 271 |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | AHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021 |
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City | Virtual, Online |
Period | 25/07/21 → 29/07/21 |
Bibliographical note
Funding Information:This work has been supported by the GIIAR research group and the Universidad Polit?cnica Salesiana.
Funding Information:
Acknowledgments. This work has been supported by the GIIAR research group and the Universidad Politécnica Salesiana.
Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Cancer diagnosis
- Correlation between variables
- Fuzzy predicates
- Knowledge discovery
- Knowledge extraction