obsess 发表于 2025-3-21 17:37:31
书目名称Web Information Systems and Mining影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK1021550<br><br> <br><br>书目名称Web Information Systems and Mining影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK1021550<br><br> <br><br>书目名称Web Information Systems and Mining网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK1021550<br><br> <br><br>书目名称Web Information Systems and Mining网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK1021550<br><br> <br><br>书目名称Web Information Systems and Mining被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK1021550<br><br> <br><br>书目名称Web Information Systems and Mining被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK1021550<br><br> <br><br>书目名称Web Information Systems and Mining年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK1021550<br><br> <br><br>书目名称Web Information Systems and Mining年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK1021550<br><br> <br><br>书目名称Web Information Systems and Mining读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK1021550<br><br> <br><br>书目名称Web Information Systems and Mining读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK1021550<br><br> <br><br>脊椎动物 发表于 2025-3-21 21:33:43
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http://reply.papertrans.cn/103/10216/1021550/1021550_5.pngCOLON 发表于 2025-3-22 15:15:17
A Comprehensive Reputation Computation Model Based on Fuzzy Regression Method of Cross-Domain Usersefficients. In order to build up fuzzy regression model, the comprehensive reputation is hazed with symmetric triangular fuzzy number to determine fuzzy coefficients, and to calculate out the result. The experiment results show that the model reflects the flexible range objectively.ARY 发表于 2025-3-22 17:18:02
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CuttingPlane: An Efficient Algorithm for Three-Dimensional Spatial Skyline Queries Based on Dynamic orem, we propose a more efficient algorithm-dynamic cutting plane scan queries for skyline queries, and analyze and verify the feasibility, efficiency and veracity of the algorithm through instance and experiment.会犯错误 发表于 2025-3-23 03:17:05
http://reply.papertrans.cn/103/10216/1021550/1021550_9.pngenmesh 发表于 2025-3-23 07:37:56
Redundant Feature Elimination by Using Approximate Markov Blanket Based on Discriminative Contributiinative Contribution (DISC) to eliminate redundant features and propose the AMB-DISC algorithm. Experimental results on the data set of Reuter-21578 show AMB-DISC is much better than the previous state-of-arts feature selection algorithms considering feature redundancy in terms of Micro.F1 and Macro.F1.