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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/4041Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Loh, Han Tong | - |
| dc.creator | Koh, Wee Leong | - |
| dc.creator | Menon, Rakesh | - |
| dc.creator | Leong, Christopher K. | - |
| dc.date | 2003-12-23T15:26:47Z | - |
| dc.date | 2003-12-23T15:26:47Z | - |
| dc.date | 2002-01 | - |
| dc.date.accessioned | 2013-10-09T02:33:57Z | - |
| dc.date.available | 2013-10-09T02:33:57Z | - |
| dc.date.issued | 2013-10-09 | - |
| dc.identifier | http://hdl.handle.net/1721.1/4041 | - |
| dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | - |
| dc.description | In many manufacturing companies, large databases containing data on failures and repairs of products are maintained. This paper reports on a case where information from such a database is extracted. Such information extracted could be useful for identifying opportunities for reliability improvements in the products. The database was obtained from a manufacturer of inkjet printers and contains both fixed-format and free-form text fields. At present, techniques developed in data mining and information retrieval are mainly designed to handle either fixed-format or free-form text fields, but not a combination of both. The approach taken in this paper is to first transform the free-form text fields into a number of fixed-format fields through analysis of the frequency of key words. Association analysis was then carried out on the resulting fixed-format fields. Results obtained from the analysis produced a number of associations that could contribute to improving product reliability. | - |
| dc.description | Singapore-MIT Alliance (SMA) | - |
| dc.format | 32149 bytes | - |
| dc.format | application/pdf | - |
| dc.language | en_US | - |
| dc.relation | Innovation in Manufacturing Systems and Technology (IMST); | - |
| dc.subject | failures | - |
| dc.subject | reliability improvements | - |
| dc.subject | data mining | - |
| dc.subject | service center records | - |
| dc.title | A Study of Service Center Records Using Data Mining | - |
| dc.type | Article | - |
| Appears in Collections: | MIT Items | |
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