Abstract
In this study, we propose a new technique to integrate support vector machine and association rule mining in order to implement a fast and efficient classification algorithm that overcomes the drawbacks of machine learning and association rule-based classification algorithms. The reported test results demonstrate the applicability, efficiency and effectiveness of the proposed approach.
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Kianmehr, K., Alhajj, R. (2006). Support Vector Machine Approach for Fast Classification. In: Tjoa, A.M., Trujillo, J. (eds) Data Warehousing and Knowledge Discovery. DaWaK 2006. Lecture Notes in Computer Science, vol 4081. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11823728_51
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DOI: https://doi.org/10.1007/11823728_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37736-8
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