1950 search results - page 117 / 390 » Informative sampling for large unbalanced data sets |
160
Voted
SIGMOD
2001
ACM
16 years 3 months ago
2001
ACM
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
126
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CINQ
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. Data mining algorithms such as the Apriori method for finding frequent sets in sparse binary data can be used for efficient computation of a large number of summaries fr...
130
Voted
SIGECOM
2010
ACM
15 years 8 months ago
2010
ACM
We designed and built the Gates Hillman Prediction Market (GHPM) to predict the opening day of the Gates and Hillman Centers, the new computer science buildings at Carnegie Mellon...
138
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GECCO
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. Microarrays allow simultaneous measurement of the expression levels of thousands of genes in cells under different physiological or disease states. Because the number of...
118
Voted
ICMLA
2008
15 years 4 months ago
2008
The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...