2012 ©
Journal Publication
Research Title Data mining framework for HDD yield improvement: the neural networks and association analysis approach 
Date of Distribution 4 March 2010 
     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 
     Conference Date 4 March 2010 
     To 6 March 2010 
Proceeding Paper
     Volume 2010 
     Page 1237-1241 
     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. 
517040020-5 Miss SIRORAT PATTANAPAIROJ [Main Author]
Engineering Doctoral Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Abstract 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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