Novel applications of data mining methodologies to incident databases
dc.contributor.advisor | Mannan, M. Sam | |
dc.creator | Anand, Sumit | |
dc.date.accessioned | 2006-08-16T19:12:58Z | |
dc.date.available | 2006-08-16T19:12:58Z | |
dc.date.created | 2003-05 | |
dc.date.issued | 2006-08-16 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/3998 | |
dc.description.abstract | Incident databases provide an excellent opportunity to study the repeated situations of incidents in the process industry. The databases give an insight into the situation which led to an incident, and if studied properly can help monitor the process, equipment and chemical involved more closely, and reduce the number of incidents in the future. This study examined a subset of incidents from National Response CenterÂs Incident database, focusing mainly on fixed facility incidents in Harris County, Texas from 1990 to 2002. Data mining has been used in the financial and marketing arena for many decades to analyze and find patterns in large amounts of data. Realizing the limited capabilities of traditional methods of statistics, more robust techniques of data mining were applied to the subset of data and interesting patterns of chemical involved, equipment failed, component involved, etc. were found. Further, patterns obtained by data mining on the subset of data were used in modifying probabilities of failure of equipment and developing a decision support system. | en |
dc.format.extent | 306881 bytes | en |
dc.format.medium | electronic | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | Texas A&M University | |
dc.subject | Data Mining | en |
dc.subject | Incident | en |
dc.subject | Incident Databases | en |
dc.title | Novel applications of data mining methodologies to incident databases | en |
dc.type | Book | en |
dc.type | Thesis | en |
thesis.degree.department | Chemical Engineering | en |
thesis.degree.discipline | Chemical Engineering | en |
thesis.degree.grantor | Texas A&M University | en |
thesis.degree.name | Master of Science | en |
thesis.degree.level | Masters | en |
dc.contributor.committeeMember | Halwagi,Mahmoud El | |
dc.contributor.committeeMember | Tretter, Marietta J. | |
dc.type.genre | Electronic Thesis | en |
dc.type.material | text | en |
dc.format.digitalOrigin | born digital | en |
Files in this item
This item appears in the following Collection(s)
-
Electronic Theses, Dissertations, and Records of Study (2002– )
Texas A&M University Theses, Dissertations, and Records of Study (2002– ) -
MKOPSC Theses and Dissertations