1. Agresti, A., Coull, B.A.: Approximate is better than “exact” for interval estimation of binomial proportions. Am. Statist. 52(2), 119–126 (1998)
2. Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S.: DBpedia - a crystallization point for the web of data. Web Semant. Sci. Serv. Agents World Wide Web 7(3), 154–165 (2009)
3. Borgelt, C., Kruse, R.: Induction of association rules: apriori implementation. In: Härdle, W., Rönze, B. (eds.) Compstat, pp. 395–400. Physica, Heidelberg (2002)
4. Cimiano, P., Hotho, A., Staab, S.: Comparing conceptual, divisive and agglomerative clustering for learning taxonomies from text. In: ECAI, vol. 16, p. 435 (2004)
5. Lecture Notes in Computer Science;T De Nies,2016