Title

An Intelligent Middleware for Linear Correlation Discovery

Publication Type

Journal Article

Publication Date

3-2002

Abstract

Although it is widely accepted that research from data mining, knowledge discovery, and data warehousing should be synthesized, little research addresses the integration of existing data management and analysis software. We develop an intelligent middleware that facilitates linear correlation discovery, the discovery of associations between attributes and attribute groups. This middleware integrates data management and data analysis tools to improve traditional data analysis in three perspectives: (1) identify appropriate linear correlation functions to perform based on the semantics of a data set; (2) execute appropriate functions contained in the data analysis packages; and (3) derive useful knowledge from data analysis.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

Decision Support Systems

Volume

32

Issue

4

First Page

313

Last Page

326

ISSN

0167-9236

Identifier

10.1016/S0167-9236(01)00127-0

Publisher

Elsevier

Additional URL

http://dx.doi.org/10.1016/S0167-9236(01)00127-0