Review published in:
Vol. 24:2 (2018) ► pp. 289294


D’amato, C., Staab, S., and Fanizzi, N.
2008 “On the Influence of Description Logics Ontologies on Conceptual Similarity.” In Proceedings of the 16th International Conference on Knowledge Engineering and Knowledge Management, 48–63. Acitrezza, Italy.Google Scholar
Han, J., Kamber, M., and Pei, J.
2011Data Mining: Concepts and Techniques. San Francisco: Morgan Kaufmann Publishers Inc.Google Scholar
Hand, D. J., Smyth, P., and Mannila, H.
2001Principles of Data Mining. Cambridge: The MIT Press.Google Scholar
Jankowski, N., Duch, W., and Grabczewski, K.
(eds.) 2011 “Meta-Learning in Computational Intelligence”. Studies in Computational Intelligence 358: 1–76.Google Scholar
Kralj, N. P., Vavpeti, A., Trajkovski, I., and Lavra, N.
2010 “Towards Semantic Data Mining with g-SEGS.” In Proceedings of the 13th International Multiconference Information Society (IS 2010), 173–176. Ljubljana, Slovenia.Google Scholar
Lehmann, K., and Turhan, A -Y.
2012 “A Framework for Semantic-Based Similarity Measures for ELH-Concepts.” In Proceedings of the 13th European Conference on Logics in Artificial Intelligence, 307–319. Toulouse, France. CrossrefGoogle Scholar
Marchionini, G.
2006 “Exploratory Search: from Finding to Understanding.” Communications of the ACM 49 (4): 41–46. CrossrefGoogle Scholar
Suchanek, F. M., and Weikum, G.
2014 “Knowledge Bases in the Age of Big Data Analytics.” PVLDB 7 (13): 1713–1714.Google Scholar
Van Harmelen, F., and McGuinness, D. L.
2004OWL Web Ontology Language Overview. Retrieved Feb. 15, 2018, from http://​www​.w3​.org​/TR​/2004​/REC​-owl​-features​-20040210/.
White, R. W., and Roth, R. A.
2009Exploratory Search: Beyond the Query-Response Paradigm. Synthesis Lectures on Information Concepts, Retrieval, and Services. Williston: Morgan & Claypool Publishers.[ p. 294 ]Google Scholar