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发表于 2025-3-21 16:44:17
书目名称Data-Intensive Text Processing with MapReduce影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0263325<br><br> <br><br>书目名称Data-Intensive Text Processing with MapReduce影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0263325<br><br> <br><br>书目名称Data-Intensive Text Processing with MapReduce网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0263325<br><br> <br><br>书目名称Data-Intensive Text Processing with MapReduce网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0263325<br><br> <br><br>书目名称Data-Intensive Text Processing with MapReduce被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0263325<br><br> <br><br>书目名称Data-Intensive Text Processing with MapReduce被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0263325<br><br> <br><br>书目名称Data-Intensive Text Processing with MapReduce年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0263325<br><br> <br><br>书目名称Data-Intensive Text Processing with MapReduce年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0263325<br><br> <br><br>书目名称Data-Intensive Text Processing with MapReduce读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0263325<br><br> <br><br>书目名称Data-Intensive Text Processing with MapReduce读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0263325<br><br> <br><br>
表示问
发表于 2025-3-21 23:45:27
Graph Algorithms,e of web page quality based on the structure of hyperlinks, which is used in ranking results for web search. As one of the first applications of MapReduce, PageRank exemplifies a large class of graph algorithms that can be concisely captured in the programming model. We will discuss PageRank in deta
低位的人或事
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Kindle
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embolus
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Gudgeon
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Gudgeon
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Synthesis Lectures on Human Language Technologieshttp://image.papertrans.cn/d/image/263325.jpg
受人支配
发表于 2025-3-23 00:49:10
Data-Intensive Text Processing with MapReduce978-3-031-02136-7Series ISSN 1947-4040 Series E-ISSN 1947-4059
Conflict
发表于 2025-3-23 04:48:53
978-3-031-01008-8Springer Nature Switzerland AG 2010
Inscrutable
发表于 2025-3-23 06:59:09
Concerted European Action on Magnets (CEAM)ta processing on clusters of commodity servers. It was originally developed by Google and built on well-known principles in parallel and distributed processing dating back several decades. MapReduce has since enjoyed widespread adoption via an open-source implementation called Hadoop, whose developm