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Titlebook: Database Systems for Advanced Applications; DASFAA 2017 Internat Zhifeng Bao,Goce Trajcevski,Wen Hua Conference proceedings 2017 Springer I

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發(fā)表于 2025-3-26 23:28:10 | 只看該作者
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發(fā)表于 2025-3-27 02:21:22 | 只看該作者
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發(fā)表于 2025-3-27 08:21:18 | 只看該作者
Leigh S. McCue,Armin W. Troeschfast structure learning. Then, ABNL feeds the data partition to different learning algorithms to obtain a collection of BN Structures. Lastly, ABNL adaptively chooses the structures and merge them into a final network structure using an ensemble method. Experimental results on four big datasets show
34#
發(fā)表于 2025-3-27 13:22:33 | 只看該作者
Automatically Classify Chinese Judgment Documents Utilizing Machine Learning Algorithmseeding. In 2013, China Judgments Online system was launched officially for record keeping and notification, up?to now, over 23 million electronic judgment documents are recorded. The huge amount of judgment documents has witnessed the improvement of judicial justice and openness. Document categoriza
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發(fā)表于 2025-3-27 14:18:46 | 只看該作者
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發(fā)表于 2025-3-27 21:30:39 | 只看該作者
Optimization Factor Analysis of Large-Scale Join Queries on Different Platformshe management ability of large-scale data, big data platforms earn the reputation for their simple programming interface and good performance of scaling out. But traditional databases have intrinsic optimization mechanisms for fundamental operators, which supports efficient and flexible data process
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發(fā)表于 2025-3-27 22:31:49 | 只看該作者
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發(fā)表于 2025-3-28 05:39:15 | 只看該作者
39#
發(fā)表于 2025-3-28 07:35:25 | 只看該作者
Discovering Interesting Co-location Patterns Interactively Using Ontologiesa mining. Common frameworks for mining co-location patterns generate numerous redundant patterns. Thus, several methods were proposed to overcome this drawback. However, most of these methods did not guarantee that the extracted co-location patterns were interesting for being generally based on stat
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發(fā)表于 2025-3-28 10:31:37 | 只看該作者
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