Abstract
Emerging technologies have enabled many companies to collect a tremendous amount of data on their customers, suppliers and partners. How to deal with the very large database in supply chain management is a very important problem. A large amount of data is likely to be gathered from the many activities along supply chains. This data must be warehoused and mined to identify patterns that can lead to better management and control of supply chain. One of the solution is using of data mining. Data mining is a process that uses a variety of data analysis tools to discover relationships in data that may be used to make valid predictions.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Han J, Kamber M (2001) Data Mining: Concepts and Techniques. Morgan Kaufmann, San Francisco, CA
Mathieu R, Lavary RL (2006) Data warehousing and mining in supply chains. In: Wang J (ed) Encyclopedia of Data Warehousing and Mining. Idea Group Reference, Hershey, PA, p 323
Neaga EI, Harding JA (2005) An enterprise modeling and integration framework based on knowledge discovery and data mining. International Journal of Production Research, vol 43, edn 6, 15th March 2005, pp 1089–1108
Raisinghani MS, Medea LL (2005) Strategic decisions in supply-chain intelligence using knowledge management: an analytic-network-process framework. Supply Chain Management: An International Journal 10/2, pp 114–121
Samli AC, Pohlen TL, Bozovic N (2002) A Review of Data Mining Techniques as they Apply to Marketing: Generating Strategic Information to Develop Market Segments. The Marketing Review, 2002, edn 3, pp 211–227
Van Gor AR (2001) Demand & Supply chain management: A logistical challenge. 17th International Logistics Congress, Thessaloniki
Wang J (2006) Encyclopedia of Data Warehousing and Mining, Idea Group Reference, Hershey, PA, p 1096
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Oleskow, J., Fertsch, M., Golinska, P., Maruszewska, K. (2007). Data Mining as a Suitable Tool for Efficient Supply Chain Integration - Extended Abstract. In: Gómez, J.M., Sonnenschein, M., Müller, M., Welsch, H., Rautenstrauch, C. (eds) Information Technologies in Environmental Engineering. Environmental Science and Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71335-7_33
Download citation
DOI: https://doi.org/10.1007/978-3-540-71335-7_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71334-0
Online ISBN: 978-3-540-71335-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)