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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)Anomaly detection through quasi-functional dependency analysis., , , and . J. Digit. Inf. Manag., 5 (4): 191-200 (2007)Scaling associative classification for very large datasets., , and . CoRR, (2018)Characterization and search of web services through intensional knowledge., , and . J. Intell. Inf. Syst., 47 (3): 375-401 (2016)PaWI: Parallel Weighted Itemset Mining by Means of MapReduce., , , and . BigData Congress, page 25-32. IEEE Computer Society, (2015)Discovering cross-topic collaborations among researchers by exploiting weighted association rules., , , and . Scientometrics, 116 (2): 1273-1301 (2018)Associative text categorization exploiting negated words., and . SAC, page 530-535. ACM, (2006)A Lazy Approach to Associative Classification., , and . IEEE Trans. Knowl. Data Eng., 20 (2): 156-171 (2008)