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Titlebook: Knowledge Discovery in Databases: PKDD 2007; 11th European Confer Joost N. Kok,Jacek Koronacki,Andrzej Skowron Conference proceedings 2007

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11#
發(fā)表于 2025-3-23 09:54:45 | 只看該作者
12#
發(fā)表于 2025-3-23 16:39:57 | 只看該作者
Privacy Preserving Market Basket Data Analysisin market basket data analysis. We also show several measures (e.g., correlation) have monotonic property, i.e., the values calculated directly from the randomized data are always less or equal than those original ones. Hence, some market basket data analysis tasks can be executed on the randomized
13#
發(fā)表于 2025-3-23 18:58:34 | 只看該作者
Generating Social Network Features for Link-Based Classificational operators that are applicable to an adjacent network. Then the combinations of the operators generate new features, some of which correspond to traditional indices, and others which are considered to be new. We apply our method for classification to two different datasets, thereby demonstrating t
14#
發(fā)表于 2025-3-24 00:25:43 | 只看該作者
Classification of Anti-learnable Biological and Synthetic Dataal 1-dimensional linear transformation developed, for instance, to maximize classification accuracy of the outputs of an internal cross-validation on the training set. We also discuss the relevance to other fields such as learning theory, boosting, regularization, sample bias and application of kern
15#
發(fā)表于 2025-3-24 05:21:55 | 只看該作者
Conference proceedings 2007 of them responsible for one sub-?eld or several closely related research topics. Suitable areas were selected on the basis of the submission statistics for ECML/PKDD 2006 and for last year’s International Conference on Machine Learning (ICML 2006) to ensure a proper load balance amongtheAreaChairs.
16#
發(fā)表于 2025-3-24 07:28:53 | 只看該作者
17#
發(fā)表于 2025-3-24 10:50:10 | 只看該作者
18#
發(fā)表于 2025-3-24 17:10:59 | 只看該作者
Mining Queriesests to actual content. Even queries without clicks or answers imply important missing synonyms or content. In this talk we show several examples on how to use this information to improve the performance of search engines, to recommend better queries, to improve the information scent of the content
19#
發(fā)表于 2025-3-24 21:28:31 | 只看該作者
20#
發(fā)表于 2025-3-25 00:41:15 | 只看該作者
Experiment Databases: Towards an Improved Experimental Methodology in Machine Learningover the years, repeatability of experiments and generalizability of results remain a concern. In this paper we propose a methodology based on the use of .. Experiment databases facilitate large-scale experimentation, guarantee repeatability of experiments, improve reusability of experiments, help e
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