Abstract
An alternative approach to mining association rules is presented. It is based on representation of analysed data by suitable strings of bits. This approach was developed for the GUHA method of mechanising hypothesis formation more than 30 years ago. The procedure 4ft-Miner that is contemporary application of this approach is described. It mines for various types of association rules including conditional association rules. The 4ft-Miner procedure is a part of the academic system LISp-Miner for KDD research and teaching.
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Rauch, J., Šimůnek, M. An Alternative Approach to Mining Association Rules. In: Young Lin, T., Ohsuga, S., Liau, CJ., Hu, X., Tsumoto, S. (eds) Foundations of Data Mining and knowledge Discovery. Studies in Computational Intelligence, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11498186_13
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DOI: https://doi.org/10.1007/11498186_13
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