Mining XML documents with association rule algorithms
tarafından
 
Gürel, Görkem.

Başlık
Mining XML documents with association rule algorithms

Yazar
Gürel, Görkem.

Yazar Ek Girişi
Gürel, Görkem.

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.

Konu Başlığı
Data minning.
 
XML(Document marcup language)
 
Computer algorithms.

Yazar Ek Girişi
Püskülcü, Halis.

Tüzel Kişi Ek Girişi
İzmir Institute of Technology. Computer Engineering.

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.


LibraryMateryal TürüDemirbaş NumarasıYer NumarasıDurumu/İade Tarihi
IYTE LibraryTezT000708QA76.9.D343 G786 2008Tez Koleksiyonu