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EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy.

, , , , and . IRCDL, volume 385 of Communications in Computer and Information Science, page 29-40. Springer, (2013)

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Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering., and . Data Min. Knowl. Discov., 28 (5-6): 1266-1313 (2014)Machine Learning for Map Interpretation: An Intelligent Tool for Environmental Planning., , , and . Applied Artificial Intelligence, 11 (7-8): 673-696 (1997)Classifying web documents in a hierarchy of categories: a comprehensive study., and . J. Intell. Inf. Syst., 28 (1): 37-78 (2007)Trend cluster based compression of geographically distributed data streams., , , and . CIDM, page 168-175. IEEE, (2011)Big Data Analytics and Predictive Modeling Approaches for the Energy Sector., , and . BigData Congress, page 55-63. IEEE, (2019)Discovering Evolution Chains in Dynamic Networks., , and . NFMCP, volume 7765 of Lecture Notes in Computer Science, page 185-199. Springer, (2012)A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes., , , , and . BMC Bioinform., 14 (S-7): S8 (2013)KDB2000: Uno strumento per la scoperta della conoscenza., , and . SEBD, page 417-421. (2002)Towards Object-Relational Data Mining., and . SEBD, page 269-280. Rubettino Editore, (2003)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)