An integrated interactive environment for knowledge discovery from heterogeneous data resources

Chen, M Zhu, QM Chen, ZX

M. Chen et al., An integrated interactive environment for knowledge discovery from heterogeneous data resources, INF SOFTW T, 43(8), 2001, pp. 487-496

16

INGLESE

Article

Computer Science & Engineering

INFORMATION AND SOFTWARE TECHNOLOGY

0950-5849 → ACNP

43

8

2001

487 - 496

ISI

0950-5849(20010701)43:8<487:AIIEFK>2.0.ZU;2-#

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.