1217 search results - page 16 / 244 » On compressing frequent patterns |
142
Voted
INTELLCOMM
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Today, event logs contain vast amounts of data that can easily overwhelm a human. Therefore, the mining of frequent patterns from event logs is an important system and ne...
133
Voted
AUSDM
2007
Springer
15 years 9 months ago
2007
Springer
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
169
Voted
SAC
2008
ACM
15 years 3 months ago
2008
ACM
Operating systems engineers have developed tracing tools that log details about process execution at the kernel level. These tools make it easier to understand the actual executio...
147
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CORR
2010
Springer
15 years 3 months ago
2010
Springer
There is a considerable body of work on sequence mining of Web Log Data We are using One Pass frequent Episode discovery (or FED) algorithm, takes a different approach than the tr...
154
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MLDM
2009
Springer
15 years 10 months ago
2009
Springer
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...