Ilef Ben Slima
@crns.rnrt.tn
Assistant Professor
ISMAI-K, CRNS, SM@RTS
RESEARCH, TEACHING, or OTHER INTERESTS
Artificial Intelligence, Computer Science
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Ilef Ben Slima, Sourour Ammar, Mariem Turki, Wiem Bouattour, and Jihene Aloulou
Elsevier BV
Ilef Ben Slima, Sourour Ammar, and Mahmoud Ghorbel
Springer Science and Business Media LLC
Ilef Ben Slima, Amina Jarraya, Sourour Ammar, and Amel Borgi
Elsevier BV
Maroua Lejmi, Ilef Ben Slima, and Amel Borgi
Elsevier BV
Ilef Ben Slima, Sourour Ammar, Mahmoud Ghorbel, and Yousri Kessentini
Springer International Publishing
Ilef Ben Slima and Amel Borgi
Springer Science and Business Media LLC
Ilef Ben Slima and Amel Borgi
Springer International Publishing
Riadh Zaatour, Amel Borgi, and Ilef Ben Slima
IEEE
We are interested in a supervised learning method by automatic generation of classification rules: SUCRAGE. Premises construction is done by grouping the dependant attributes. This selection in one block of the features is realized by linear correlation research among the training set elements. Only numerical features can be taken into account by linear correlation search. In this article, we propose to extend SUCRAGE to handle symbolic attributes by using another method of regrouping attributes based on Association Rules. This method can detect different types of association between quantitative as well as qualitative attributes. The obtained results in generalization with various data using the built rules are very satisfactory.