拼图游戏
发表于 2025-3-21 17:51:04
书目名称Data Warehousing and Knowledge Discovery影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0263210<br><br> <br><br>书目名称Data Warehousing and Knowledge Discovery影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0263210<br><br> <br><br>书目名称Data Warehousing and Knowledge Discovery网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0263210<br><br> <br><br>书目名称Data Warehousing and Knowledge Discovery网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0263210<br><br> <br><br>书目名称Data Warehousing and Knowledge Discovery被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0263210<br><br> <br><br>书目名称Data Warehousing and Knowledge Discovery被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0263210<br><br> <br><br>书目名称Data Warehousing and Knowledge Discovery年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0263210<br><br> <br><br>书目名称Data Warehousing and Knowledge Discovery年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0263210<br><br> <br><br>书目名称Data Warehousing and Knowledge Discovery读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0263210<br><br> <br><br>书目名称Data Warehousing and Knowledge Discovery读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0263210<br><br> <br><br>
自恋
发表于 2025-3-21 22:51:15
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Amplify
发表于 2025-3-22 03:22:03
Computer Integrated Manufacturing K-means based classifiers. The experimental results show that IBC significantly outperforms the companion methods in execution efficiency for dataset with categorical attributes of sparse distribution while attaining approximately the same classification accuracies. Consequently, IBC is considered
非实体
发表于 2025-3-22 06:26:25
A Temporal Study of Data Sources to Load a Corporate Data Warehousetime or not, we could obtain the valid time for the data warehouse or not. The aim of this paper is to present a temporal study of the different kinds of data sources to load a corporate data warehouse, using a bitemporal storage structure.
poliosis
发表于 2025-3-22 11:44:38
Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin The technique is simple and can be applied to all four scenarios above. To prove the efficiency of our technique, in this article we do comparative performance tests between these approaches. We performed two benchmarks: the first one using synthetic data and the second one using the real data from
卵石
发表于 2025-3-22 14:50:46
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卵石
发表于 2025-3-22 20:04:29
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重力
发表于 2025-3-22 22:14:09
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exigent
发表于 2025-3-23 02:00:27
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Arroyo
发表于 2025-3-23 08:14:07
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