粗俗人 发表于 2025-3-27 00:47:38
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A Heuristic-Based Decision Tree Induction Method for Noisy Data,osely coupled approach to deal with noise. Our noise handling feature is in a separate phase from the tree induction. Both corrupted and uncorrupted data are clustered and heuristically selected prior to the application of the tree induction module. We observe from our experiments that upon learning可触知 发表于 2025-3-27 05:39:28
Optimizing Database Queries with Materialized Views and Data Mining Models, mining models and materialized views. We perform efficiency tests of the proposed system on a platform of deductive database using the DES system. The experimental results demonstrate the effectiveness of our system in answering queries sharing the same pattern as the available knowledge.Resection 发表于 2025-3-27 09:46:24
CAIG: Classification Based on Attribute-Value Pair Integrate Gain,same groups if they bias to same class label. Fourth, it adopts a greedy algorithm to generate rules from the theses groups. Experimental results show that the method of multi measures is highly accuracy in comparison with the one measure.unstable-angina 发表于 2025-3-27 16:46:11
Predicting Rare Classes of Primary Tumors with Over-Sampling Techniques,the learned model. In our study, we consider specific kinds of primary tumors occurring at the frequency rate less than one percent as rare classes. From the experimental results, the SMOTE technique gave a high specificity model, whereas the random over-sampling produced a high sensitivity classifiFrequency 发表于 2025-3-27 18:05:12
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http://reply.papertrans.cn/27/2635/263450/263450_37.pngDuodenitis 发表于 2025-3-28 04:34:01
http://reply.papertrans.cn/27/2635/263450/263450_38.pngingestion 发表于 2025-3-28 09:25:10
Virale Zielgruppen im Content Marketingsame groups if they bias to same class label. Fourth, it adopts a greedy algorithm to generate rules from the theses groups. Experimental results show that the method of multi measures is highly accuracy in comparison with the one measure.incisive 发表于 2025-3-28 11:40:37
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