Titlebook: Database Systems for Advanced Applications; 9th International Co YoonJoon Lee,Jianzhong Li,Doheon Lee Conference proceedings 2004 Springer-

富裕

書目名稱Database Systems for Advanced Applications影響因子(影響力)




書目名稱Database Systems for Advanced Applications影響因子(影響力)學科排名




書目名稱Database Systems for Advanced Applications網(wǎng)絡公開度




書目名稱Database Systems for Advanced Applications網(wǎng)絡公開度學科排名




書目名稱Database Systems for Advanced Applications被引頻次




書目名稱Database Systems for Advanced Applications被引頻次學科排名




書目名稱Database Systems for Advanced Applications年度引用




書目名稱Database Systems for Advanced Applications年度引用學科排名




書目名稱Database Systems for Advanced Applications讀者反饋




書目名稱Database Systems for Advanced Applications讀者反饋學科排名

Heterodoxy

沒有希望

Efficient Processing of Spatiotemporal JoinsFinally, we implement and test these new algorithms with a couple of generated spatiotemporal data sets. Our experiments show that our algorithms’ performance is good even in extreme cases, showing its good scalability – especially for the TR-Tree.

傳授知識

Skipping Strategies for Efficient Structural Joinsuctures. Hence, our strategy has lower overheads than previous techniques, and can be easily implemented and incorporated into any existing system. Experiments show that our method significantly outperforms previous algorithms.

大包裹

Scaling SDI Systems via Query Clustering and Aggregationity of query patterns, and develop a filtering technique called YFilter* that is based on YFilter. Experiment results show that the proposed approach is able to achieve high precision, high recall, while reducing runtime requirement.

Patrimony

Patrimony

Urea508

https://doi.org/10.1007/978-1-349-13998-9vity retrieval speed. It makes use of . to store the SPEs in a . form to increase the selectivity retrieval speed and the accuracy of the retrieved selectivity. Our analysis shows that the probability that a selectivity estimation error occurs decreases . with respect to the error size.

漫步

Innocence

Construction Inspection HandbookFinally, we implement and test these new algorithms with a couple of generated spatiotemporal data sets. Our experiments show that our algorithms’ performance is good even in extreme cases, showing its good scalability – especially for the TR-Tree.