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.
|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|
|Number of pages||9|
|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
|Name||Lecture Notes in Networks and Systems|
|Conference||AHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021|
|Period||25/07/21 → 29/07/21|
Bibliographical noteFunding Information:
This work has been supported by the GIIAR research group and the Universidad Polit?cnica Salesiana.
Acknowledgments. This work has been supported by the GIIAR research group and the Universidad Politécnica Salesiana.
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Cancer diagnosis
- Correlation between variables
- Fuzzy predicates
- Knowledge discovery
- Knowledge extraction