Tools for data warehouse quality

Author

Gebhardt, M. ; Jarke, M. ; Jeusfeld, M.A. ; Quix, C. ; Sklorz, S.

Author_Institution

Tech. Hochschule Aachen, Germany

fYear

1998

fDate

1-3 Jul 1998

Firstpage

229

Lastpage

232

Abstract

We show three interrelated tools intended to improve different aspects of the quality of data warehouse solutions. Firstly, the deductive object manager ConceptBase is intended to enrich the semantics of data warehouse solutions by including an explicit enterprise-centered concept of quality. The positive impact of precise multidimensional data models on the client interface is demonstrated by CoDecide, an Internet-based toolkit for the flexible visualization of multiple, interrelated data cubes. Finally, MIDAS is a hybrid data mining system which analyses multi-dimensional data to further enrich the semantics of the meta database, using a combination of neural network techniques, fuzzy logic and machine learning

Keywords

Internet; data analysis; data structures; data visualisation; deductive databases; fuzzy logic; knowledge acquisition; learning (artificial intelligence); neural nets; object-oriented databases; statistical databases; very large databases; CoDecide; ConceptBase; Internet; MIDAS; client interface; data analysis; data visualization; data warehouse quality; deductive object manager; enterprise-centered quality concept; fuzzy logic; hybrid data mining system; interrelated data cubes; machine learning; multidimensional data models; neural network; semantics; Data analysis; Data mining; Data models; Data visualization; Data warehouses; Internet; Multidimensional systems; Neural networks; Quality management; Visual databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Scientific and Statistical Database Management, 1998. Proceedings. Tenth International Conference on

Conference_Location

Capri

ISSN

1099-3371

Print_ISBN

0-8186-8575-1

Type

conf

DOI

10.1109/SSDM.1998.688130

Filename

688130