An integrated interactive environment for knowledge discovery from heterogeneous data resources

Citation
M. Chen et al., An integrated interactive environment for knowledge discovery from heterogeneous data resources, INF SOFTW T, 43(8), 2001, pp. 487-496
Citations number
16
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Computer Science & Engineering
Journal title
INFORMATION AND SOFTWARE TECHNOLOGY
ISSN journal
0950-5849 → ACNP
Volume
43
Issue
8
Year of publication
2001
Pages
487 - 496
Database
ISI
SICI code
0950-5849(20010701)43:8<487:AIIEFK>2.0.ZU;2-#
Abstract
Discovering knowledge such as causal relations among objects in large data collections is very important in many decision-making processes. In this pa per, we present our development of an integrated environment acting as a so ftware agent for discovering correlative attributes of data objects from mu ltiple heterogeneous resources. The environment provides necessary supporti ng tools and processing engines for acquiring, collecting, and extracting r elevant information from multiple data resources, and then forming meaningf ul knowledge patterns. The agent system is featured with an interactive use r interface that provides useful communication channels for human superviso rs to actively engage in necessary consultation and guidance in the entire knowledge discovery processes. A cross-reference technique is employed for searching and discovering coherent set of correlative patterns from the het erogeneous data resources. A Bayesian network approach is applied as a know ledge representation scheme for recording and manipulating the discovered c ausal relations. The system employs common data warehousing and OLAP techni ques to form integrated data repository and generate database queries over large data collections from various distinct data resources. (C) 2001 Elsev ier Science Ltd All rights reserved.