Abstract
This paper demonstrates how to employ rough set framework in order to induce JEPs in transactional data. The algorithm employs local reducts in order to generate desired JEPs and additional EPs. The number of the latter is decreased by preceding reduct computation with item aggregation. The preprocessing is reduced to graph coloring and solved with efficient classical heuristics. Our approach is contrasted with JEP-Producer, the recommended method for JEP induction. Moreover, a formal apparatus for classified transactional data has been proposed.
The research has been partially supported by grant No 3 T11C 002 29 received from Polish Ministry of Education and Science.
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Terlecki, P., Walczak, K. (2007). Jumping Emerging Pattern Induction by Means of Graph Coloring and Local Reducts in Transaction Databases. In: An, A., Stefanowski, J., Ramanna, S., Butz, C.J., Pedrycz, W., Wang, G. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2007. Lecture Notes in Computer Science(), vol 4482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72530-5_43
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DOI: https://doi.org/10.1007/978-3-540-72530-5_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72529-9
Online ISBN: 978-3-540-72530-5
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