4591 search results - page 514 / 919 » Learning from Dyadic Data |
232
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BMCBI
2010
15 years 7 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
181
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SAC
2006
ACM
16 years 23 days ago
2006
ACM
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
186
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UIST
2010
ACM
15 years 4 months ago
2010
ACM
Data quality is critical for many information-intensive applications. One of the best opportunities to improve data quality is during entry. USHER provides a theoretical, data-dri...
180
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SIGIR
2003
ACM
16 years 1 days ago
2003
ACM
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
182
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
Matching records that refer to the same entity across databases is becoming an increasingly important part of many data mining projects, as often data from multiple sources needs ...