Abstract
We present an application of text analytics in automotive industry and describe a research prototype for extracting named-entities in textual data recorded in automotive warranty claim forms. We describe an application for gaining useful insights about products defect reported to the dealer during the warranty period of vehicles. The prototype is developed for air-conditioning subsystem and consists of two main components: a text tagging and annotation engine a query engine. We present some real world examples with sample output and share our design and implementation experiences.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Tan, A.-H.: Text Mining: The state of the art and the challenges. In: Zhong, N., Zhou, L. (eds.) PAKDD 1999. LNCS (LNAI), vol. 1574, pp. 65–70. Springer, Heidelberg (1999)
McCallum, A.: Information Extraction: Distilling Structured Data from Unstructured Text. Social Computing 3(9), 48–57 (2005)
Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V.: GATE: A Framework and Graphical Development Environment for Robust NLP Tools and Applications. In: Proceedings of the 40th Anniversary Meeting of the Association for Computational Linguistics (ACL 2002), Philadelphia (July 2002)
Batesa, H., Holwegb, M., Lewisc, M., Oliverd, N.: Motor vehicle recalls: Trends, patterns and emerging issues. OMEGA: International Journal of Management Science 35(2), 202–210 (2007)
Zhang, L., Pan, Y., Zhang, T.: Focused named entity recognition using machine learning. In: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 281–288 (2004)
Fournier, R., Shovelton, T., Stolle, L.: Walking the automotive industry tightrope: Keeping customer and your brand safe, An Executive strategy report of IBM Global Services published on (April 14, 2003)
Teret, S.P., Vernick, J., Mair, J.S., Sapsin, J.W.: Role of Litigation in Preventing Product-Related Injuries. Epidemiological Reviews 25, 90–98 (2003)
Automotive Warranty Management: Paying the Bill and Solving the Problem by Kevin Prouty, A report on Manufacturing, AMR Research(November 01, 2000)
Recalls and Product Safety News, U.S. Consumer Product Safety Commission, http://www.cpsc.gov/cpscpub/prerel/prerel.html
The Warranty Process Flow within the Automotive Industry: An Investigation of Automotive Warranty Processes and Issues. Center for Automotive Research (August 2005)
Warranty Week, The Newsletter for Warranty Management Professionals, http://www.warrantyweek.com/
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sureka, A., De, S., Varma, K. (2008). Mining Automotive Warranty Claims Data for Effective Root Cause Analysis. In: Haritsa, J.R., Kotagiri, R., Pudi, V. (eds) Database Systems for Advanced Applications. DASFAA 2008. Lecture Notes in Computer Science, vol 4947. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78568-2_54
Download citation
DOI: https://doi.org/10.1007/978-3-540-78568-2_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78567-5
Online ISBN: 978-3-540-78568-2
eBook Packages: Computer ScienceComputer Science (R0)