Frequent Itemset Mining Algorithms—A Literature Survey
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-2422-3_13
Reference15 articles.
1. Aggarwal, C.C.:Data Mining: The Textbook. Springer (2015)
2. Aggarwal, C.C., Han, J.: Frequent Pattern Mining. Springer (2004)
3. Anand, J.V.: A methodology of atmospheric deterioration forecasting and evaluation through data mining and business intelligence. J. Ubiquitous Comput. Commun. Technol. 2(02), 79–87 (2020)
4. Atluri, G., Gupta, R., Fang, G., et al.: Association analysis techniques for bioinformatics problems. In: International Conference on Bioinformatics and Computational Biology, pp. 1–13. Springer (2009)
5. Han, J., Pei, J., Yin, Y.: Mining frequent patterns without candidate generation. In: SIGMOD ‘00 Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, pp.1–12 (2000)
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