CHARY 发表于 2025-3-21 16:50:20
书目名称New Trends in Databases and Information Systems影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0665921<br><br> <br><br>书目名称New Trends in Databases and Information Systems影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0665921<br><br> <br><br>书目名称New Trends in Databases and Information Systems网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0665921<br><br> <br><br>书目名称New Trends in Databases and Information Systems网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0665921<br><br> <br><br>书目名称New Trends in Databases and Information Systems被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0665921<br><br> <br><br>书目名称New Trends in Databases and Information Systems被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0665921<br><br> <br><br>书目名称New Trends in Databases and Information Systems年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0665921<br><br> <br><br>书目名称New Trends in Databases and Information Systems年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0665921<br><br> <br><br>书目名称New Trends in Databases and Information Systems读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0665921<br><br> <br><br>书目名称New Trends in Databases and Information Systems读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0665921<br><br> <br><br>spondylosis 发表于 2025-3-21 21:28:26
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Skyline Algorithms on Streams of Multidimensional Datath different dataset types and dimensionalities, data cardinalities and sliding window sizes. Experimental results for time performance and memory consumption are presented. In addition, the problem of computing the exclusive dominance region in higher dimensions is reviewed and a novel correct solu枯燥 发表于 2025-3-22 21:17:01
Canonical Data Model for Data Warehousenical model to support materialized integration of data during data warehouse creation. The considered data warehouse is based on the concept of grid file. To extract data from several sources, to create the materialized view, and to effectively organize queries on the multidimensional data a comput偏离 发表于 2025-3-23 03:20:21
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Towards Spatial Crowdsourcing in Vehicular Networks Using Mobile Agentscal advances in these fields but also to meet the increasing demand of “connected” applications and services. Although vehicular networks have not been fully developed yet, they could be used in a near future as a means to provide a number of interesting applications and services that need the excha