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» On Implicate Discovery and Query Optimization
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DASFAA
2008
IEEE
163views Database» more  DASFAA 2008»
14 years 18 days ago
Automated Data Discovery in Similarity Score Queries
A vast amount of information is being stored in scientific databases on the web. The dynamic nature of the scientific data, the cost of providing an up-to-date snapshot of the wh...
Fatih Altiparmak, Ali Saman Tosun, Hakan Ferhatosm...
VLDB
2004
ACM
102views Database» more  VLDB 2004»
13 years 11 months ago
PIVOT and UNPIVOT: Optimization and Execution Strategies in an RDBMS
PIVOT and UNPIVOT, two operators on tabular data that exchange rows and columns, enable data transformations useful in data modeling, data analysis, and data presentation. They ca...
Conor Cunningham, Goetz Graefe, César A. Ga...
ADBIS
2004
Springer
133views Database» more  ADBIS 2004»
13 years 11 months ago
Evaluation of the Mine-Merge Method for Data Mining Query Processing
In this paper we consider concurrent execution of multiple data mining queries in the context of discovery of frequent itemsets. If such data mining queries operate on similar part...
Marek Wojciechowski, Maciej Zakrzewicz
CINQ
2004
Springer
133views Database» more  CINQ 2004»
13 years 10 months ago
Inductive Querying for Discovering Subgroups and Clusters
We introduce the problem of cluster-grouping and show that it integrates several important data mining tasks, i.e. subgroup discovery, mining correlated patterns and aspects from c...
Albrecht Zimmermann, Luc De Raedt
CIKM
2007
Springer
14 years 10 days ago
Nugget discovery in visual exploration environments by query consolidation
Queries issued by casual users or specialists exploring a data set often point us to important subsets of the data, be it clusters, outliers or other features of particular import...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward