Mining XML documents with association rule algorithms için kapak resmi
Mining XML documents with association rule algorithms
Başlık:
Mining XML documents with association rule algorithms
Yazar:
Gürel, Görkem.
Yazar Ek Girişi:
Yayın Bilgileri:
[s.l.]: [s.n.], 2008.
Fiziksel Tanımlama:
x, 63 leaves.: ill. + 1 computer laser optical disc.
Özet:
Following the increasing use of XML technology for data storage and data exchange between applications, the subject of mining XML documents has become more researchable and important topic. In this study, we considered the problem of Mining Association Rules between items in XML document. The principal purpose of this study is applying association rule algorithms directly to the XML documents with using XQuery which is a functional expression language that can be used to query or process XML data. We used three different algorithms; Apriori, AprioriTid and High Efficient AprioriTid. We give comparisons of mining times of these three apriori-like algorithms on XML documents using different support levels, different datasets and different dataset sizes.
Yazar Ek Girişi:
Tek Biçim Eser Adı:
Thesis (Master)--İzmir Institute of Technology:Computer Engineering.

İzmir Institute of Technology:Computer Engineering--Thesis (Master).
Elektronik Erişim:
Access to Electronic Version.
Ayırtma: Copies: