4085 search results - page 327 / 817 » Benchmarking Data Mining Algorithms |
160
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KDD
2009
ACM
16 years 5 months ago
2009
ACM
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
131
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KDD
2003
ACM
16 years 4 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
159
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ECMDAFA
2009
Springer
15 years 11 months ago
2009
Springer
Model Driven Software Development (MDSD) has matured over the last few years and is now becoming an established technology. Models are used in various contexts, where the possibili...
123
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CIB
2004
15 years 4 months ago
2004
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
144
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DATAMINE
1998
15 years 4 months ago
1998
Data mining evolved as a collection of applicative problems and efficient solution algorithms relative to rather peculiar problems, all focused on the discovery of relevant infor...