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Anomaly detection using fuzzy association rules., , , , и . Int. J. Electron. Secur. Digit. Forensics, 6 (1): 25-37 (2014)Generalized Association Rules for Sentiment Analysis in Twitter., , и . FQAS, том 11529 из Lecture Notes in Computer Science, стр. 166-175. Springer, (2019)Bot Detection in Twitter: An Overview., , , и . FQAS, том 14113 из Lecture Notes in Computer Science, стр. 131-144. Springer, (2023)Detecting Anomalous and Exceptional Behaviour on Credit Data by Means of Association Rules., , , и . FQAS, том 8132 из Lecture Notes in Computer Science, стр. 143-154. Springer, (2013)A Comparative Study of Word Embeddings for the Construction of a Social Media Expert Filter., , и . FQAS, том 12871 из Lecture Notes in Computer Science, стр. 196-208. Springer, (2021)A Fuzzy-Based Approach for Cyberbullying Analysis., , , , , и . IPMU (2), том 1602 из Communications in Computer and Information Science, стр. 317-328. Springer, (2022)Summarizing Documents Using Fractal Techniques., и . ICEIS (4), стр. 26-33. (2007)Comparing Partitions by Means of Fuzzy Data Mining Tools., , , , и . SUM, том 7520 из Lecture Notes in Computer Science, стр. 337-350. Springer, (2012)Representation by levels: An alternative to fuzzy sets for fuzzy data mining., , и . Fuzzy Sets Syst., (2020)Fuzzy frameworks for mining data associations: fuzzy association rules and beyond., , и . WIREs Data Mining Knowl. Discov., 6 (2): 50-69 (2016)