Titlebook: Web-Age Information Management; 17th International C Bin Cui,Nan Zhang,Dexi Liu Conference proceedings 2016 Springer International Publishi

老鼠系领带

书目名称Web-Age Information Management影响因子(影响力)




书目名称Web-Age Information Management影响因子(影响力)学科排名




书目名称Web-Age Information Management网络公开度




书目名称Web-Age Information Management网络公开度学科排名




书目名称Web-Age Information Management被引频次




书目名称Web-Age Information Management被引频次学科排名




书目名称Web-Age Information Management年度引用




书目名称Web-Age Information Management年度引用学科排名




书目名称Web-Age Information Management读者反馈




书目名称Web-Age Information Management读者反馈学科排名

猜忌

https://doi.org/10.1007/978-3-319-39937-9cloud computing; distributed system; internet of things; semantic network; active learning; algorithm; cro

重叠

Bin Cui,Nan Zhang,Dexi LiuIncludes supplementary material:

Excise

978-3-319-39936-2Springer International Publishing Switzerland 2016

赏心悦目

Web-Age Information Management978-3-319-39937-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

set598

Discovering Underground Roads from Trajectories Without Road Network framework to deal with the issues, including an incremental clustering phase, a sub-trajectory detecting phase and a cluster filtering phase. Experiments upon real-life data sets demonstrate the effectiveness and efficiency of the proposed framework.

暗指

Discovering Underground Roads from Trajectories Without Road Network framework to deal with the issues, including an incremental clustering phase, a sub-trajectory detecting phase and a cluster filtering phase. Experiments upon real-life data sets demonstrate the effectiveness and efficiency of the proposed framework.

不发音

Point-of-Interest Recommendations by Unifying Multiple Correlationsnify different information in a framework and learn the exact function by using gradient descent methods. The experimental results on real-world data sets show that our recommendations are more effective than baseline methods.

Guileless

Point-of-Interest Recommendations by Unifying Multiple Correlationsnify different information in a framework and learn the exact function by using gradient descent methods. The experimental results on real-world data sets show that our recommendations are more effective than baseline methods.

暂停,间歇