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ICE: Interactive Classification Rule Exploration on Epidemiological Data, , , , and . Proc. of the 30th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS17), page 606-611. Thessaloniki, Greece, (2017)Studying the Potential of Multi-Target Classification on Patient Screening Data to Predict Dropout Cases, , , , , , , and . Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), page 239-243. (2018)Predicting Document Polarities on a Stream without Reading their Contents, , , , and . Proceedings of the Symposium on Applied Computing (SAC), (2018)Medical Mining: KDD 2015 Tutorial., , and . KDD, page 2325. ACM, (2015)Managing Interesting Rules in Sequence Mining.. PKDD, volume 1704 of Lecture Notes in Computer Science, page 554-560. Springer, (1999)A Semi-supervised Incremental Clustering Algorithm for Streaming Data., , and . PAKDD (1), volume 7301 of Lecture Notes in Computer Science, page 578-590. Springer, (2012)Discovering Semantic Sibling Groups from Web Documents with XTREEM-SG., and . EKAW, volume 4248 of Lecture Notes in Computer Science, page 141-157. Springer, (2006)Improving the Effectiveness of a Web Site with Web Usage Mining., , and . WEBKDD, volume 1836 of Lecture Notes in Computer Science, page 142-162. Springer, (1999)Semi-automated XML Tagging of Public Text Archives: A Case Study, and . Proceedings of EuroWeb 2001 ``The Web in Public Administration'', page 271--285. Pisa, Italy, (December 2001)Density-based semi-supervised clustering, , and . Data Mining and Knowledge Discovery, 21 (3): 345-370 (2010)