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

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書目名稱Database Systems for Advanced Applications影響因子(影響力)




書目名稱Database Systems for Advanced Applications影響因子(影響力)學(xué)科排名




書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度




書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Database Systems for Advanced Applications被引頻次




書目名稱Database Systems for Advanced Applications被引頻次學(xué)科排名




書目名稱Database Systems for Advanced Applications年度引用




書目名稱Database Systems for Advanced Applications年度引用學(xué)科排名




書目名稱Database Systems for Advanced Applications讀者反饋




書目名稱Database Systems for Advanced Applications讀者反饋學(xué)科排名

Constituent

籠子

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

偽造者

使尷尬

使尷尬

牢騷

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

柔軟

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

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