112 search results - page 3 / 23 » An Interval Classifier for Database Mining Applications |
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
APWEB
2006
Springer
15 years 1 months ago
2006
Springer
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
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ICDE
2009
IEEE
15 years 11 months ago
2009
IEEE
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
SAC
2004
ACM
15 years 3 months ago
2004
ACM
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
XML documents have recently become ubiquitous because of their varied applicability in a number of applications. Classification is an important problem in the data mining domain, ...