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Text mining for cross-domain knowledge discovery

Author(s): Matjaž Juršič (Author), Nada Lavrač (Supervisor), Bojan Cestnik (Co-Supervisor)

Year: 2013

Type: Doctoral dissertation

One of the prevailing tendencies in science is research over-specialization, resulting in deep but relatively isolated islands of knowledge. Due to the huge amounts of scientific information produced at an increasingly fast pace, it has become difficult to follow even the specific literature limited to a single domain of specialization. …

Text mining for discovering implicit relationships in biomedical literature

Author(s): Ingrid Petrič (Author), Tanja Urbančič (Supervisor), Bojan Cestnik (Co-Supervisor)

Year: 2009

Type: Doctoral dissertation

Data analysis with machine learning methods, when applied to large collections of text data, enables us to discover new knowledge. This knowledge, once put together, might describe the still unknown connections among phenomena and thus contribute to the formation of new hypotheses in different fields, medicine including. Also, connectivity and …