Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Data mining: building competitive advantage
Data mining: building competitive advantage
Data mining: concepts and techniques
Data mining: concepts and techniques
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
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To increase process yield is the most effective way to raise income of TFT-LCD industry. This research is divided into two phases. In the first phase, We have modified Apriori algorithm called Multi-Dimension Non-Continuous (MDNC), an algorithm by eliminating the limitations imposed by traditional pattern matching of continuous data, to mine the association rules in the cross-day discrete manufacturing data and find out some valuable information. The second phase use of MDNC system integrated with six-sigma quality project is set up as the assessment platform which indexes performance and improve performance tracing, to make sure the outcomes of project is profitable enough to reward financial benefit. The preliminary results show the system of new Apriori algorithm techniques integrated with six-sigma methodology is proposed to improve process yield of the Array manufacturing process, the deforming rate of production lines, reduce the cycle time, increase the profit and make the CpK value stable.