Avtor/Urednik		Jovanoski, Viktor; Lavrač, Nada
Naslov		Using association rules for inductive concept learning
Tip		članek
Vir		In: Zajc B, editor. Zbornik 7. elektrotehniške in računalniške konference ERK'98. Zvezek B. Računalništvo in informatika, umetna inteligenca, robotika, razpoznavanje vzorcev, biomedicinska tehnika, močnostna elektrotehnika, didaktika, študentski članki; 1998 sep 24-26; Portorož. Ljubljana: Slovenska sekcija IEEE,
Leto izdaje		1998
Obseg		str. 129-32
Jezik		eng
Abstrakt		Mining of association rules is a field of data mining that has received a lot of atention in recent years. Its main advantage over other machine learning techniques is a low number of database passes made during the search of a hypothesis space. The goal of this article is to show a way towards combining the inductive concept learning where a low level of interaction with a database is provided by using association rule algorithms.
Deskriptorji		ARTIFICIAL INTELLIGENCE ALGORITHMS LEARNING