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| Untersuchte Arbeit: Seite: 207, Zeilen: 1-6 |
Quelle: Jensen et al 2003 Seite(n): 381, Zeilen: left column 6-12 |
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| [The analysis of relational data is a rapidly growing area within the larger research community interested in machine learning, knowledge discovery, and data mining. Several workshops] (Dzeroski, S., De Raedt, L., and Wrobel, S. 2002; Getoor, L., and Jensen, D. 2000; Jensen, D. and Goldberg, H. 1998) have focused on this particular topic, and another DARPA research program — Evidence Extraction and Link Discovery (EELD) —focuses on extracting, representing, reasoning with, and learning from relational data. | Analysis of relational data is a rapidly growing area within the larger research community interested in machine learning, knowledge discovery, and data mining. Several recent workshops [EN 3, EN 6, EN 8] have focused on this precise topic, and another DARPA research program — Evidence Extraction and Link Discovery (EELD) —focuses on extracting, representing, reasoning with, and learning from relational data. [FN 5]
--- [EN 3] Dzeroski, S., De Raedt, L., and Wrobel, S. (Eds). Papers of the Workshop on Multi-Relational Data Mining. The Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM Press, 2002. [EN 6] Getoor, L., and Jensen, D. (Eds). Learning Statistical Models from Relational Data: Papers from the AAAI 2000 Workshop, AAAI Press, Menlo Park CA, 2000. [EN 8] Jensen, D. and Goldberg, H. Artificial Intelligence and Link Analysis: Papers from the 1998 AAAI Fall Symposium., AAAI Press, Menlo Park CA, 1998. |
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