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» Comparing the Performance of Database Selection Algorithms
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PR
2008
131views more  PR 2008»
14 years 11 months ago
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Salvador García, José Ramón C...
ICDE
2008
IEEE
147views Database» more  ICDE 2008»
16 years 1 months ago
Fast Indexes and Algorithms for Set Similarity Selection Queries
Data collections often have inconsistencies that arise due to a variety of reasons, and it is desirable to be able to identify and resolve them efficiently. Set similarity queries ...
Marios Hadjieleftheriou, Amit Chandel, Nick Koudas...
SPAA
1997
ACM
15 years 3 months ago
A Localized Algorithm for Parallel Association Mining
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
CIBB
2008
15 years 1 months ago
Stability and Performances in Biclustering Algorithms
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
SIGMOD
2008
ACM
214views Database» more  SIGMOD 2008»
15 years 11 months ago
A graph method for keyword-based selection of the top-K databases
While database management systems offer a comprehensive solution to data storage, they require deep knowledge of the schema, as well as the data manipulation language, in order to...
Quang Hieu Vu, Beng Chin Ooi, Dimitris Papadias, A...