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» Query Languages for Knowledge Discovery in Databases
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PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
15 years 2 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...
DATAMINE
1999
80views more  DATAMINE 1999»
14 years 9 months ago
MSQL: A Query Language for Database Mining
The tremendous number of rules generated in the mining process makes it necessary for any good data mining system to provide for powerful query primitives to post-process the gener...
Tomasz Imielinski, Aashu Virmani
COLING
2008
14 years 11 months ago
A Linguistic Knowledge Discovery Tool: Very Large Ngram Database Search with Arbitrary Wildcards
In this paper, we will describe a search tool for a huge set of ngrams. The tool supports queries with an arbitrary number of wildcards. It takes a fraction of a second for a sear...
Satoshi Sekine
DAWAK
1999
Springer
15 years 2 months ago
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases
Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on efficient quer...
Stefan Berchtold, Christian Böhm, Hans-Peter ...