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Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective.

, , , , , and . ICDM Workshops, page 326-331. IEEE Computer Society, (2008)

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Mining Cluster-Based Models of Time Series for Wind Power Prediction., , , and . SEBD, page 9-20. (2014)Discovery of spatial association rules in geo-referenced census data: A relational mining approach., , , , and . Intell. Data Anal., 7 (6): 541-566 (2003)Discovering Geographic Knowledge: The INGENS System., , , and . ISMIS, volume 1932 of Lecture Notes in Computer Science, page 40-48. Springer, (2000)Generating Logic Descriptions for the Automated Interpretation of Topographic Maps., , , , and . GREC, volume 2390 of Lecture Notes in Computer Science, page 200-210. Springer, (2001)Relational Clustering with Discrete Spatial Structure., , , , and . SEBD, page 149-160. (2005)Empowering a GIS with inductive learning capabilities: the case of INGENS., , , , and . Comput. Environ. Urban Syst., 27 (3): 265-281 (2003)First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps., , , and . MLDM, volume 2123 of Lecture Notes in Computer Science, page 88-101. Springer, (2001)Enhancing Regression Models with Spatio-temporal Indicator Additions., , , and . AI*IA, volume 8249 of Lecture Notes in Computer Science, page 433-444. Springer, (2013)Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering., , , and . AI*IA, volume 10640 of Lecture Notes in Computer Science, page 309-320. Springer, (2017)On Homogeneity Evaluation and Seed Selection in Clustering Relational Data., , , and . SEBD, page 471-478. (2007)