Incremental meta-mining from large temporal data sets Export

@incollection{citeulike:3014191, abstract = {. With the increase in the size of datasets, data mining has\<E-352\> become one of the most prevalent topics for research in database systems.\<E-334\> The output from this process, the generation of rules of various types, has\<E-353\> raised the question of how rules can be considered interesting. We argue\<E-344\> that, in many cases, it is the meta-rule that holds the most interest. That is,\<E-356\> given a set of known rules about a dataset, it is the confluence of rules\<E-347\> relating to a small ...}, address = {Berlin}, author = {Abraham, T. and Roddick, John F.}, booktitle = {Advances in Database Technologies, Proc. First International Workshop on Data Warehousing and Data Mining, DWDM'98}, citeulike-article-id = {3014191}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.6317}, editor = {Kambayashi, Y. and Lee, D. K. and Lim, E. P. and Mohania, M. and Masunaga, Y.}, keywords = {data-mining}, pages = {41--54}, posted-at = {2008-07-17 12:51:38}, priority = {2}, publisher = {Springer-Verlag}, title = {Incremental meta-mining from large temporal data sets}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.6317}, volume = {1552}, year = {1999} }

TY - CHAP ID - citeulike:3014191 L3 - citeulike-article-id:3014191 N2 - . With the increase in the size of datasets, data mining has<E-352> become one of the most prevalent topics for research in database systems.<E-334> The output from this process, the generation of rules of various types, has<E-353> raised the question of how rules can be considered interesting. We argue<E-344> that, in many cases, it is the meta-rule that holds the most interest. That is,<E-356> given a set of known rules about a dataset, it is the confluence of rules<E-347> relating to a small ... AD - Berlin EP - 54 TI - Incremental meta-mining from large temporal data sets PB - Springer-Verlag VL - 1552 T2 - Advances in Database Technologies, Proc. First International Workshop on Data Warehousing and Data Mining, DWDM'98 SP - 41 KW - data-mining AU - Abraham, T AU - Roddick, John A2 - Kambayashi, Y A2 - Lee, DK A2 - Lim, EP A2 - Mohania, M A2 - Masunaga, Y PY - 1999/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.6317 ER -