- Tytuł:
- Association rules in medical data classification
- Autorzy:
-
Kasperczuk, Anna
Jasińska, Aleksandra
Zdrodowska, Małgorzata
Dardzińska-Głębocka, Agnieszka - Powiązania:
- https://bibliotekanauki.pl/chapters/2204723.pdf
- Data publikacji:
- 2022
- Wydawca:
- Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
- Tematy:
-
association rules
classification
classification based on association (CBA) - Opis:
- This chapter is focused on the application of association rules to classify medical data. There is no data mining technique that can produce consistent results for all types of medical data. The effectiveness of a data mining technique depends, among other things, on the type of data collected for study. The purpose of the following work is to see if combining two data mining methods will give better results than using them individually. For this purpose, data on breast cancer in women was used. The results showed that using a hybrid combination of association rules to produce a classifier can improve classification performance.
- Źródło:
-
Advances in biomedical engineering; 123–142
9788367185400 - Dostawca treści:
- Biblioteka Nauki
Artykuł