By Topic

An intelligent project lifecycle data mart-based decision support system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Houari, N. ; Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada ; Far, B.H.

Mission critical decision making in enterprises depends heavily on intelligent systems for extracting, analyzing and interpreting information from multiple heterogeneous, distributed data and knowledge sources. It is assumed that data warehouses (DW) and data marts (DM) are required for optimized data accessibility and use. This paper discusses issues with the current DW/DM systems and propose a novel architecture based on multi-agents technology to support information and knowledge extraction over distributed data sources in order to use them in the decision making process. The proposed framework is applied to a real-world project lifecycle case, the EPC (Engineering Procurement and Construction) project.

Published in:

Electrical and Computer Engineering, 2004. Canadian Conference on  (Volume:2 )

Date of Conference:

2-5 May 2004