| Paper Details: | Downloads: 811 |
| Serial Number: | P1120910670
|
| Title: | Data Warehouse based Statistical Mining
|
| Authors: | Kamal ElDahshan and Hany Lala
|
| Abstract: | Any good decision is based on information. It is therefore crucial that businesses have a good source of business data that can be used quickly and flexibly by managers. Data Warehousing and Knowledge Discovery technology is emerging as a key technology for enterprises that wish to improve their data analysis, decision support activities, and the automatic extraction of knowledge from data. In this paper, we use the data warehousing technology as a preprocessing step, applying piecewise regression as a predictive data mining technique to fit a model to the data to be used for predictions. Also, correlation analysis is used to qualify the best from the proposed models for that purpose. We apply our approach for “Marketing” case study. From our findings, we conclude that the data warehouse provides an effective platform for data mining.
|
| Keywords: | Data mining, data warehouse, summary tables, piecewise regression, marketing
|
| Journal/Conference: | International Journal of Artificial Intelligence and Machine Learning
|
| Volume: | 9
|
| Issue: | 1
|
| Submission Date: | 3/2/2009 12:00:00 AM
|
| Review Date: | 3/20/2009 12:00:00 AM
|
| Publishing Date: | 3/29/2009 12:00:00 AM
|
| Article Downloads: | 811
|
| Download: |
|