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Titlebook: Web-Age Information Management; 14th International C Jianyong Wang,Hui Xiong,Junfeng Zhou Conference proceedings 2013 Springer-Verlag Berli

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31#
發(fā)表于 2025-3-26 21:11:47 | 只看該作者
32#
發(fā)表于 2025-3-27 01:51:36 | 只看該作者
33#
發(fā)表于 2025-3-27 07:13:29 | 只看該作者
34#
發(fā)表于 2025-3-27 09:40:37 | 只看該作者
Imputation for Categorical Attributes with Probabilistic Reasoningty information can be obtained to measure the accuracy of the imputation. Experimental results show that our construction algorithm is effective and the quality of filled values outperforms the mode imputation method and kNN method. We also verify the effectiveness of the probabilities given by our method experimentally.
35#
發(fā)表于 2025-3-27 16:36:06 | 只看該作者
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發(fā)表于 2025-3-27 18:31:53 | 只看該作者
37#
發(fā)表于 2025-3-27 22:25:30 | 只看該作者
A Human-Machine Method for Web Table Understandingle interpretation, Web table integration, and Web table search and analysis. We also discuss some open problems that need more research investigation in Web table understanding. We believe that Web table management will attract much more attention in the coming years.
38#
發(fā)表于 2025-3-28 05:22:10 | 只看該作者
A Human-Machine Method for Web Table Understandingle interpretation, Web table integration, and Web table search and analysis. We also discuss some open problems that need more research investigation in Web table understanding. We believe that Web table management will attract much more attention in the coming years.
39#
發(fā)表于 2025-3-28 07:17:51 | 只看該作者
40#
發(fā)表于 2025-3-28 12:15:15 | 只看該作者
Mining Frequent Itemsets from Sparse Data Streams in Limited Memory Environmentsd . to capture important data from the streams onto the disk. The DSTable can be easily maintained and is applicable for mining frequent itemsets from streams (especially sparse data) in limited memory environments.
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