aspirant
发表于 2025-3-21 19:47:26
书目名称Social Media Retrieval and Mining影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0869647<br><br> <br><br>书目名称Social Media Retrieval and Mining影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0869647<br><br> <br><br>书目名称Social Media Retrieval and Mining网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0869647<br><br> <br><br>书目名称Social Media Retrieval and Mining网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0869647<br><br> <br><br>书目名称Social Media Retrieval and Mining被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0869647<br><br> <br><br>书目名称Social Media Retrieval and Mining被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0869647<br><br> <br><br>书目名称Social Media Retrieval and Mining年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0869647<br><br> <br><br>书目名称Social Media Retrieval and Mining年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0869647<br><br> <br><br>书目名称Social Media Retrieval and Mining读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0869647<br><br> <br><br>书目名称Social Media Retrieval and Mining读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0869647<br><br> <br><br>
细胞膜
发表于 2025-3-21 20:33:58
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冒烟
发表于 2025-3-22 04:26:32
Parallel Simrank Computing on Large Scale Dataset on Mapreducee scale dataset. Hadoop is one of the popular distributed platforms. This paper combines the features of the Hadoop and computes the simrank parallel with different methods, and compars them in the performance.
heterogeneous
发表于 2025-3-22 05:08:22
Applying Data Mining to the Customer Relationship Management in Retail Trade Last but not the least, several sub-fields of CRM that are suitable to the application of data mining techniques are discussed. As can be seen from this paper, the retailers must strengthen the application of data mining technology research in order to support the management decision-making and improve the level of information management.
内向者
发表于 2025-3-22 12:25:08
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Graduated
发表于 2025-3-22 15:05:33
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词汇表
发表于 2025-3-22 20:57:29
Conference proceedings 2013, and the International Workshop on Social Media Mining, Retrieval and Recommendation Technologies, SMR 2012, Nanjing, China, in December 2012. The 15 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on network
opportune
发表于 2025-3-22 23:45:12
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勉励
发表于 2025-3-23 01:30:24
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命令变成大炮
发表于 2025-3-23 08:40:00
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