Concept mining is a discipline at the nexus of data mining, text mining, and linguistics, drawing on artificial intelligence and statistics. It aims to extract concepts from documents.
This introductory course on machine learning will give an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as boosting,
In this paper we propose the type of Bayesian networks that we call the hierarchical Bayesian network (HBN) classifiers. We present algorithms for the construction of the HBN classifiers and test them on the Reuters text categorization test collection
M. Anderka, B. Stein, and N. Lipka. Proceedings of the 20th ACM international conference on Information and knowledge management, page 2313--2316. New York, NY, USA, ACM, (2011)
K. Smets, B. Goethals, and B. Verdonk. Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Workshop on Wikipedia and Artificial Intelligence: An Evolving Synergy (WikiAI08), page 43--48. AAAI Press, (2008)