solidity
发表于 2025-3-21 16:42:12
书目名称Knowledge Discovery and Measures of Interest影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0543862<br><br> <br><br>书目名称Knowledge Discovery and Measures of Interest影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0543862<br><br> <br><br>书目名称Knowledge Discovery and Measures of Interest网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0543862<br><br> <br><br>书目名称Knowledge Discovery and Measures of Interest网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0543862<br><br> <br><br>书目名称Knowledge Discovery and Measures of Interest被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0543862<br><br> <br><br>书目名称Knowledge Discovery and Measures of Interest被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0543862<br><br> <br><br>书目名称Knowledge Discovery and Measures of Interest年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0543862<br><br> <br><br>书目名称Knowledge Discovery and Measures of Interest年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0543862<br><br> <br><br>书目名称Knowledge Discovery and Measures of Interest读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0543862<br><br> <br><br>书目名称Knowledge Discovery and Measures of Interest读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0543862<br><br> <br><br>
boisterous
发表于 2025-3-21 21:23:48
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botany
发表于 2025-3-22 01:36:28
978-1-4419-4913-4Springer Science+Business Media New York 2001
anaerobic
发表于 2025-3-22 04:46:46
Knowledge Discovery and Measures of Interest978-1-4757-3283-2Series ISSN 0893-3405
CRACY
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填料
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CHECK
发表于 2025-3-22 18:20:27
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惰性气体
发表于 2025-3-23 00:35:39
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煞费苦心
发表于 2025-3-23 01:59:47
Experimental Analyses,mance of . in generating summaries from databases. We also evaluate the sixteen diversity measures for ranking the interestingness of the summaries generated, implemented in the research software tool .. We present the results of our evaluation against a variety of metrics and describe our general experience.
扩音器
发表于 2025-3-23 05:33:22
Introduction,cular, the book describes a technique for mining summaries from databases using domain generalization graphs and objective measures of interestingness. The technique utilized here is included in the broad set of techniques encompassed by the discipline known as knowledge discovery in databases (KDD)