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Digging deep into weighted patient data through multiple-level patterns., , , , and . Inf. Sci., (2015)A Review of Scalable Approaches for Frequent Itemset Mining., , and . ADBIS (Short Papers and Workshops), volume 539 of Communications in Computer and Information Science, page 243-247. Springer, (2015)BAC: A Bagged Associative Classifier for Big Data Frameworks., , and . ADBIS (Short Papers and Workshops), volume 637 of Communications in Computer and Information Science, page 137-146. Springer, (2016)Characterization and search of web services through intensional knowledge., , and . J. Intell. Inf. Syst., 47 (3): 375-401 (2016)MeTA: Characterization of Medical Treatments at Different Abstraction Levels., , , , , , , and . ACM Trans. Intell. Syst. Technol., 6 (4): 57:1-57:25 (2015)ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis., , and . ACM Trans. Inf. Syst., 37 (2): 21:1-21:33 (2019)CaBuAr: California Burned Areas dataset for delineation., , and . CoRR, (2024)PaWI: Parallel Weighted Itemset Mining by Means of MapReduce., , , and . BigData Congress, page 25-32. IEEE Computer Society, (2015)Scaling associative classification for very large datasets., , and . CoRR, (2018)A Lazy Approach to Associative Classification., , and . IEEE Trans. Knowl. Data Eng., 20 (2): 156-171 (2008)