Understanding messages in a diagnostic domain
Information Processing and Management: an International Journal - Special issue: summarizing text
Data mining and KDD: promise and challenges
Future Generation Computer Systems - Special double issue on data mining
Data mining solutions: methods and tools for solving real-world problems
Data mining solutions: methods and tools for solving real-world problems
Principles of data mining
Data mining for design and manufacturing
Applying classification algorithms in practice
Statistics and Computing
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
IEEE Intelligent Systems
Mining Text Data: Special Features and Patterns
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
No zero match browsing of hierarchically categorized information entities
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Dynamic taxonomies and guided searches
Journal of the American Society for Information Science and Technology
Between ontology and folksonomy: a study of collaborative and implicit ontology evolution
Proceedings of the 13th international conference on Intelligent user interfaces
Reviewing and Evaluating Automatic Term Recognition Techniques
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
FleXplorer: A Framework for Providing Faceted and Dynamic Taxonomy-Based Information Exploration
DEXA '08 Proceedings of the 2008 19th International Conference on Database and Expert Systems Application
Formal concept analysis in information science
Annual Review of Information Science and Technology
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The maintenance and service records collected and maintained by engineering companies are a useful resource for the ongoing support of products. Such records are typically semi-structured and contain key information such as a description of the issue and the product affected. It is suggested that further value can be realised from the collection of these records for indicating recurrent and systemic issues which may not have been apparent previously. This paper presents a faceted classification approach to organise the information collection that might enhance retrieval and also facilitate learning from in-service experiences. The faceted classification may help to expedite responses to urgent in-service issues as well as to allow for patterns and trends in the records to be analysed, either automatically using suitable data mining algorithms or by manually browsing the classification tree. The paper describes the application of the approach to aerospace in-service records, where the potential for knowledge discovery is demonstrated.