Abstract
In this paper, we study the concrete signification of association rules in relational database, and propose a new formalization and a general process of mining association rules, which is comprehensive, and easy to use and understand. It lays a foundation of designing systems for mining association rules based on relational database, and is a direction for system designer.
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© 2006 International Federation for Information Processing
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Zhang, H., Zhang, B. (2006). Formalization of Mining Association Rules based on Relational Database in EIS. In: Tjoa, A.M., Xu, L., Chaudhry, S.S. (eds) Research and Practical Issues of Enterprise Information Systems. IFIP International Federation for Information Processing, vol 205. Springer, Boston, MA. https://doi.org/10.1007/0-387-34456-X_14
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DOI: https://doi.org/10.1007/0-387-34456-X_14
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-34345-7
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