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Mining Relational Association Rules for Propositional Classification.

, , and . AI*IA, volume 3673 of Lecture Notes in Computer Science, page 522-534. Springer, (2005)

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KDB2000: Uno strumento per la scoperta della conoscenza., , and . SEBD, page 417-421. (2002)MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database., , and . KDID, page 17-27. Rudjer Boskovic Institute, Zagreb, Croatia, (2003)Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering., and . Data Min. Knowl. Discov., 28 (5-6): 1266-1313 (2014)Emerging Pattern Based Classification in Relational Data Mining., , and . DEXA, volume 5181 of Lecture Notes in Computer Science, page 283-296. Springer, (2008)Mining Relational Association Rules for Propositional Classification., , and . AI*IA, volume 3673 of Lecture Notes in Computer Science, page 522-534. Springer, (2005)Novelty Detection from Evolving Complex Data Streams with Time Windows., , , , , and . ISMIS, volume 5722 of Lecture Notes in Computer Science, page 563-572. Springer, (2009)A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants., , and . ISMIS, volume 8502 of Lecture Notes in Computer Science, page 518-523. Springer, (2014)Collective Inference for Handling Autocorrelation in Network Regression., , and . ISMIS, volume 8502 of Lecture Notes in Computer Science, page 542-547. Springer, (2014)Learning and Transferring Geographically Weighted Regression Trees across Time., , , and . MSM/MUSE, volume 7472 of Lecture Notes in Computer Science, page 97-117. Springer, (2011)Network regression with predictive clustering trees., , , and . Data Min. Knowl. Discov., 25 (2): 378-413 (2012)