595 search results - page 68 / 119 » Learning Patterns in Noisy Data: The AQ Approach |
274
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ICDE
2008
IEEE
16 years 7 months ago
2008
IEEE
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
198
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WWW
2009
ACM
16 years 25 days ago
2009
ACM
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
145
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KDD
1997
ACM
15 years 9 months ago
1997
ACM
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
155
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KDD
2008
ACM
16 years 6 months ago
2008
ACM
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
165
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...