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The Scientific World Journal
Volume 2014, Article ID 870406, 7 pages
http://dx.doi.org/10.1155/2014/870406
Research Article

Bit-Table Based Biclustering and Frequent Closed Itemset Mining in High-Dimensional Binary Data

1Department of Process Engineering, University of Pannonia, Veszprém 8200, Hungary
2Bioinformatics & Scientific Computing Core, Campus Science Support Facilities, Vienna Biocenter, 1030 Vienna, Austria

Received 15 August 2013; Accepted 4 December 2013; Published 30 January 2014

Academic Editors: Y. Blanco Fernandez and Y.-B. Yuan

Copyright © 2014 András Király et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

András Király, Attila Gyenesei, and János Abonyi, “Bit-Table Based Biclustering and Frequent Closed Itemset Mining in High-Dimensional Binary Data,” The Scientific World Journal, vol. 2014, Article ID 870406, 7 pages, 2014. https://doi.org/10.1155/2014/870406.