- author = "Maciej Huk and Jan Kwiatkowski and Dariusz Konieczny and Michal Kedziora and Jolanta Mizera-Pietraszko",
- booktitle = "2nd IEEE International Conference on Cybernetics (CYBCONF)",
- title = "Context-sensitive text mining with fitness leveling Genetic Algorithm",
- year = "2015",
- pages = "342--347",
- abstract = "Contextual processing is a great challenge for information retrieval study - the most approved techniques include scanning content of HTML web pages, user supported metadata analysis, automatic inference grounded on knowledge base, or content-oriented digital documents analysis. We propose a meta-heuristic by making use of Genetic Algorithms for Contextual Search (GACS) built on genetic programming (GP) and custom fitness levelling function to optimise contextual queries in exact search that represents unstructured phrases generated by the user. Our findings show that the queries built with GACS can significantly optimise the retrieval process.",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1109/CYBConf.2015.7175957",
- month = jun,
-
notes = "Department of Computer Science, Wroclaw University of
Technology, Poland
Also known as \cite{7175957}",
