Deriving Conceptual Schema from XML Databases

Author

Yuliana, Oviliani Yenty ; Chittayasothorn, Suphamit

Author_Institution

Dept. of Inf. Eng., Petra Christian Univ., Surabaya, Indonesia

fYear

2009

fDate

1-3 April 2009

Firstpage

40

Lastpage

45

Abstract

In this paper, two concepts from different research areas are addressed together, namely functional dependency (FD) and multidimensional association rule (MAR). FD is a class of integrity constraints that have gained fundamental importance in relational database design. MAR is a class of patterns which has been studied rigorously in data mining. We employ MAR to mine the interesting rules from XML databases. The mined interesting rules are considered as candidate FDs whose all confidence itemsets are 100%. To prune the weak rules, we pay attention to support and correlation itemsets. The final strong rules are used to generate an object-role model conceptual schema diagram.

Keywords

XML; data mining; relational databases; XML databases; data mining; functional dependency; integrity constraints; interesting rules mining; multidimensional association rule; object-role model conceptual schema diagram; relational database design; Association rules; Data engineering; Data mining; Itemsets; Law; Legal factors; Multidimensional systems; Relational databases; Reverse engineering; XML; Databases; Functional Dependence; MAR; ORM; XML;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information and Database Systems, 2009. ACIIDS 2009. First Asian Conference on

Conference_Location

Dong Hoi

Print_ISBN

978-0-7695-3580-7

Type

conf

DOI

10.1109/ACIIDS.2009.13

Filename

5175964