1314 search results - page 141 / 263 » Approximate data mining in very large relational data |
150
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PAA
2002
15 years 1 months ago
2002
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
115
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ICDM
2008
IEEE
15 years 8 months ago
2008
IEEE
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
109
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KDD
2004
ACM
16 years 2 months ago
2004
ACM
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
118
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KDD
2009
ACM
16 years 2 months ago
2009
ACM
Corruption of data by class-label noise is an important practical concern impacting many classification problems. Studies of data cleaning techniques often assume a uniform label ...
110
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ICDM
2003
IEEE
15 years 7 months ago
2003
IEEE
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...