%0 Book Section %1 ganter2011formal %A Ganter, Bernhard %A Meschke, Christian %B Transactions on rough sets XIV %D 2011 %I Springer %K imported %P 37--61 %T A formal concept analysis approach to rough data tables %U http://link.springer.com/chapter/10.1007/978-3-642-21563-6_3 %X In order to handle very large data bases efficiently, the data warehousing system ICE 5 builds so-called rough tables containing information that is abstracted from certain blocks of the original table. In this article we propose a formal description of such rough tables. We also investigate possibilities of mining them for implicational knowledge. 1

@incollection{ganter2011formal, abstract = {In order to handle very large data bases efficiently, the data warehousing system ICE [5] builds so-called rough tables containing information that is abstracted from certain blocks of the original table. In this article we propose a formal description of such rough tables. We also investigate possibilities of mining them for implicational knowledge. 1}, added-at = {2013-08-04T16:27:37.000+0200}, author = {Ganter, Bernhard and Meschke, Christian}, biburl = {https://www.bibsonomy.org/bibtex/28a88b3a277777f2e9c18bcb11e2e9c0c/francesco.k}, booktitle = {Transactions on rough sets XIV}, citations = {6}, citedbyid = {14860630554405432049}, file = {file://A Formal Concept Analysis Approach to Rough Data Tables.pdf:pdf}, interhash = {fe85d6aede000f50177bd7066ae79622}, intrahash = {8a88b3a277777f2e9c18bcb11e2e9c0c}, keywords = {imported}, mailhosts = {tu-dresden.de}, md5sum = {3844ee2d75c830ab020aba5bd8fae5a6}, pages = {37--61}, pdfmeat = {timestamp: 2013-08-04 16:25:43; queries: 1; inode: 1949850}, publisher = {Springer}, timestamp = {2013-08-04T16:27:37.000+0200}, title = {A formal concept analysis approach to rough data tables}, url = {http://link.springer.com/chapter/10.1007/978-3-642-21563-6_3}, year = 2011 }