| Research Title |
Data mining framework for HDD yield improvement: the neural networks and association analysis approach |
| Date of Distribution |
4 March 2010 |
| Conference |
| Title of the Conference |
The 3rd Technology and innovation for sustainable development international conference |
| Organiser |
Faculty of Engineering, Khon Kaen University |
| Conference Place |
Nong Khai, Thailand |
| Province/State |
|
| Conference Date |
4 March 2010 |
| To |
6 March 2010 |
| Proceeding Paper |
| Volume |
2010 |
| Issue |
- |
| Page |
1237-1241 |
| Editors/edition/publisher |
|
| Abstract |
A data mining framework for controlling hard disk
drive products’ quality and improving yield of the
manufacturing processes is proposed. The framework
focuses on finding influencing factors on hard disk
drives’ yield and their quality using the Contingency
Tables and Apriori algorithm. Moreover the
framework also includes a quality monitoring and prescreening
model for detection of defective products
using neural networks. Our preliminary results reveal
that using the Contingency Tables in conjunction with
Apriori algorithm is quite effective in identifying the
influencing process variables. Furthermore, the
constructed neural network is very successful in
modeling a pre-screening and quality monitoring
model. These results give us a premising outcome for
future implementation. |
| Author |
|
| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Abstract |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
|
| Citation |
0
|
|
|
Publication
Journal Publication
ไทย