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

During the last decade various algorithms have been developed and proposed for discovering overlapping clusters in high-dimensional data. The two most prominent application fields in this research, proposed independently, are frequent itemset mining (developed for market basket data) and biclusterin...

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Detalles Bibliográficos
Autores principales: Király, András, Gyenesei, Attila, Abonyi, János
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925583/
https://www.ncbi.nlm.nih.gov/pubmed/24616651
http://dx.doi.org/10.1155/2014/870406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925583/
https://www.ncbi.nlm.nih.gov/pubmed/24616651
http://dx.doi.org/10.1155/2014/870406

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