Abstract
![CDATA[Formal Concept Analysis provides a rigorous framework in this paper to combine visualization and machine learning for a complex application in systems biology. We develop a concept lattice construction algorithm based on techniques from frequent itemset mining and adapt local browsing of concept lattices as the visualization approach. A web-based interface enables the user to navigate the concept lattice easily to inspect formal concepts for further processing. This includes integration of concepts with external data sources, including relational data representing biological networks, and machine learning using Inductive Logic Programming. Initial results are presented on a significant real-world data set showing that the approach can generate biologically promising hypotheses for further analysis.]]
Original language | English |
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Title of host publication | Advances in Ontologies: Proceedings of the Sixth Australasian Ontology Workshop, Adelaide, Australia, 7 December 2010 |
Publisher | Australian Computer Society |
Pages | 17-26 |
Number of pages | 10 |
Publication status | Published - 2010 |
Event | Australasian Ontology Workshop - Duration: 6 Dec 2010 → … |
Conference
Conference | Australasian Ontology Workshop |
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Period | 6/12/10 → … |
Keywords
- visual analytics
- systems biology
- logic programming