日月等 发表于 2025-3-21 18:57:02

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Constituent 发表于 2025-3-22 00:12:22

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笼子 发表于 2025-3-22 01:25:43

https://doi.org/10.1007/978-3-030-81896-8on brings new challenges including high scalability, coexistence of tautonymy and synonym, complex similarity metrics as well as the requirement of data quality evaluation based on entity resolution. Facing these challenges, we introduce our solutions briefly and discuss the possible future work for entity resolution in big data era.

GROG 发表于 2025-3-22 05:27:00

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伪造者 发表于 2025-3-22 11:49:40

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使尴尬 发表于 2025-3-22 14:00:01

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使尴尬 发表于 2025-3-22 17:30:32

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牢骚 发表于 2025-3-22 22:20:12

Andranik S. Tangian,Josef Gruber, it is significant and essential to infer point-of-interests (POI) categories from trajectory data for user modeling and user preferences mining in many location-based services (LBS). Recent researches focus more on recommendation and prediction of next POI, which are based on the check-in data. Ch

柔软 发表于 2025-3-23 02:01:01

Experiments with Preference Functionsed in some applications. In this paper, we proposed an approach based on ALO and differential mutation operator that called ALO-DM. In this method, differential mutation operator and greedy strategy enhance the diversity of the population. In addition, combining it with data mining algorithms can be

山顶可休息 发表于 2025-3-23 07:41:02

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查看完整版本: Titlebook: Database Systems for Advanced Applications; DASFAA 2018 Internat Chengfei Liu,Lei Zou,Jianxin Li Conference proceedings 2018 Springer Inter