DocumentCode :
2312797
Title :
How to find design rule which meet quality and lower cost from micro-drill history data
Author :
Chung, Angus
Author_Institution :
Ind. MBA of Nat. Central Univ., Jhongli, Taiwan
fYear :
2010
fDate :
20-22 Oct. 2010
Firstpage :
1
Lastpage :
4
Abstract :
In recent years the kind of nerve network´s analysis technique was on the rise, this technology´s discovery was when the information project department made Data Mining was born, this program had from the huge data discovers the regularity or correlation formidable ability, therefore this article will study the case to focus in the traditional PCB industry Micro-drill system regulation process capability system, expected that from discovered the decision rule which tallied, the process must find the high relevant because of the Data Mining technique model, and aimed at this model main factor to use regression model to predict, with using the Logistic model´s comparison pattern analysis, chose the most low cost and the quality invariable model construction design rule.
Keywords :
data mining; design; drilling; printed circuit manufacture; process capability analysis; regression analysis; PCB industry; data mining; logistic model; micro drill history data; micro drill system regulation process capability system; nerve network analysis technique; quality invariable model construction design rule; regression model; Accuracy; Analytical models; Copper; Data mining; Data models; Drilling; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microsystems Packaging Assembly and Circuits Technology Conference (IMPACT), 2010 5th International
Conference_Location :
Taipei
ISSN :
2150-5934
Print_ISBN :
978-1-4244-9783-6
Electronic_ISBN :
2150-5934
Type :
conf
DOI :
10.1109/IMPACT.2010.5699584
Filename :
5699584
Link To Document :
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