id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_m3aeltcz3rgqhipsknajgheqm4	Amine Chemchem	From data mining to knowledge mining: Application to intelligent agents	2015	3	.pdf	application/pdf	2024	155	61	From data mining to knowledge mining: Application to intelligent agents mining techniques provide also many interesting induction rules. induction rules in order to extract some new strong patterns called meta-rules. concept by proposing a new support for induction rules clustering and classification. invokes k-means and k-nn algorithms to mine induction rules using new designed similarity measures extend data mining techniques to induction rules in order to clustering, classification, association rules mining, regression, prediction,. ten of data mining algorithms (Wu et al., 2008). extended to induction rules by introducing new version of similarity measure and gravity center computation. the suggested algorithms are described and followed by the definition of a new architecture for intelligent agent. Clustering data technique Many works are about mining association rules in order to new algorithm to group rules via hierarchical clustering has been In their paper, they have developed a new similarity measure between two rules and extended k-means algorithm to	./cache/work_m3aeltcz3rgqhipsknajgheqm4.pdf	./txt/work_m3aeltcz3rgqhipsknajgheqm4.txt