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Titlebook: Knowledge Discovery in Databases: PKDD 2006; 10th European Confer Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoul Conference proceedings

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51#
發(fā)表于 2025-3-30 10:45:58 | 只看該作者
52#
發(fā)表于 2025-3-30 16:25:37 | 只看該作者
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發(fā)表于 2025-3-30 18:34:55 | 只看該作者
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發(fā)表于 2025-3-30 22:06:27 | 只看該作者
VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequencesm the PROSITE protein families. We show that VOGUE yields significantly better scores than higher-order Hidden Markov Models. Moreover, we show that VOGUE’s classification sensitivity outperforms that of HMMER, a state-of-the-art method for protein classification.
55#
發(fā)表于 2025-3-31 04:51:27 | 只看該作者
56#
發(fā)表于 2025-3-31 05:19:54 | 只看該作者
,-Anonymous Decision Tree Inductionn .-anonymity of the learning examples. Experiments show that embedding anonymization within the decision tree induction process provides better accuracy than anonymizing the data first and inducing the tree later.
57#
發(fā)表于 2025-3-31 11:54:39 | 只看該作者
58#
發(fā)表于 2025-3-31 15:46:49 | 只看該作者
0302-9743 eiburg, Germany,2001. The European Conference on Machine Learning wasestablished 20 years ago, when the ?rst European Working Session on Learning was held in Orsay, France, in 1986. The conference is growing, and is more lively than ever. The European Conference on Principles and Practice of Knowled
59#
發(fā)表于 2025-3-31 17:30:23 | 只看該作者
Conference proceedings 2006rmany,2001. The European Conference on Machine Learning wasestablished 20 years ago, when the ?rst European Working Session on Learning was held in Orsay, France, in 1986. The conference is growing, and is more lively than ever. The European Conference on Principles and Practice of Knowledge Discove
60#
發(fā)表于 2025-4-1 00:53:46 | 只看該作者
On Temporal Evolution in Data Streamsing algorithms such as clustering and classification. In many cases, mining algorithms may not function as effectively because of the change in the underlying data. We discuss the effects of evolution on mining and synopsis construction algorithms and a number of opportunities which may be available for further research on the topic.
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