Detail publikace

Mining association rules from databases

KOTÁSEK, P. Mining association rules from databases. In Sborník prací studentů a doktorandů. Brno: 1997. s. 145-147. ISBN: 80 214 0637 5.
Název anglicky
Mining association rules from databases
Typ
kapitola v knize
Jazyk
česky
Autoři
Kotásek Petr, Ing.
Klíčová slova

knowledge discovery, data mining, association rule, AprioriTID algorithm, AprioriItemset algorithm

Anotace

An association rule is a statement of a form "64% of customers who buy nappies also buy beer". The key point of mining association rules is discovery of frequent (also called large) itemsets. Several algorithms were developed for this purpose, e.g. Apriori and AprioriTid. A new algorithm called AprioriItemset is presented and compared with AprioriTid in the paper. Experimental results show better execution times of the new algorithm.

Rok
1997
Strany
145–147
Kniha
Sborník prací studentů a doktorandů
ISBN
80 214 0637 5
Místo
Brno
BibTeX 
@inbook{BUT191928,
  author="Petr {Kotásek}",
  title="Mining association rules from databases",
  booktitle="Sborník prací studentů a doktorandů",
  year="1997",
  address="Brno",
  pages="145--147",
  isbn="80 214 0637 5"
}
Nahoru