529 search results - page 32 / 106 » Data mining, Hypergraph Transversals, and Machine Learning |
85
Voted
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
83
Voted
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
MLG
2007
Springer
15 years 3 months ago
2007
Springer
While recent algorithms for mining the frequent subgraphs of a database are efficient in the general case, these algorithms tend to do poorly on databases that have a few or no la...
MLDM
2007
Springer
15 years 3 months ago
2007
Springer
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
107
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ECML
1997
Springer
15 years 1 months ago
1997
Springer
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...