Abstract
In 2013, an efficient algorithm for mining class association rules, named CAR-Miner, has been proposed. It, however, still consumes much memory in storing Obidsets of itemsets and time in computing the intersection between two Obidsets. In this paper, we propose an improved algorithm for mining class association rules by using the difference between two Obidsets (d2O). Firstly, the d2O concept is developed. After that, a strategy for reducing the storage space and fast computing d2O is also derived. Experimental results show that the proposed algorithm is more efficient than CAR-Miner.
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Nguyen, L.T.T. (2014). Mining Class Association Rules with the Difference of Obidsets. In: Nguyen, N.T., Attachoo, B., Trawiński, B., Somboonviwat, K. (eds) Intelligent Information and Database Systems. ACIIDS 2014. Lecture Notes in Computer Science(), vol 8398. Springer, Cham. https://doi.org/10.1007/978-3-319-05458-2_8
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DOI: https://doi.org/10.1007/978-3-319-05458-2_8
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