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Extracting Maintenance Knowledge from Vehicle Databases
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Every vehicle or truck manufacturer maintains databases regarding the service information oftheir vehicles. In this thesis, two vehicle databases: Vehicle Specification Database andMaintenance Service Database are analyzed and compared. The purpose is to explore theconnection between vehicle specification and vehicle maintenance needs. The approach is touse different clustering algorithms(Hierarchical, K-means, Spectral), distance measures (PositiveMatching Index and a modified Positive Matching Index), cluster validity measures(Rand Index,Jaccard Index) and data representations(Binary, Frequency) on these databases to determinethe important maintenance related specification attributes and their relation to differentservice problems (e.g. engine, brake, clutch) The clustering results indicate that there is arelation between vehicle specification and vehicle maintenance profiles. Different data miningrules that connect vehicle specification with vehicle maintenance needs are derived from theclustering results.

Place, publisher, year, edition, pages
2014. , 85 p.
Series
Technical report, IDE1220
Keyword [en]
vehicle, maintainance
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:hh:diva-24586OAI: oai:DiVA.org:hh-24586DiVA: diva2:695685
Subject / course
Information Technology
Supervisors
Examiners
Available from: 2014-02-25 Created: 2014-02-12 Last updated: 2014-02-25Bibliographically approved

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fulltext(1279 kB)703 downloads
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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
  • rtf