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Titlebook: Database Systems for Advanced Applications; 22nd International C Sel?uk Candan,Lei Chen,Wen Hua Conference proceedings 2017 Springer Intern

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樓主: ARRAY
21#
發(fā)表于 2025-3-25 06:34:41 | 只看該作者
Locating Longest Common Subsequences with Limited Penaltyopose a filter-refine approach to reduce number of candidates. We also adopt suffix array to efficiently generate common substrings, which helps calculating the problem. Experimental results on three real data sets show the effectiveness and efficiency of our algorithms.
22#
發(fā)表于 2025-3-25 09:32:54 | 只看該作者
Efficient Regular Expression Matching on Compressed Stringsnsive performance evaluation using five real datasets to validate our ideas and the proposed algorithms. The experimental result shows that our RELZ algorithm outperforms the existing algorithms significantly.
23#
發(fā)表于 2025-3-25 12:06:53 | 只看該作者
24#
發(fā)表于 2025-3-25 18:54:39 | 只看該作者
The Academy of International Business and processes queries in several small sets to retrieve more diverse results. The balance of similarity and diversity is determined through setting a threshold, which has a default value and can be adjusted according to users’ preference. The performance and efficiency of our system are demonstrate
25#
發(fā)表于 2025-3-25 22:36:12 | 只看該作者
Kevin Ibeh,Oliver Borchert,Colin Wheelerata streams’ summaries in comparatively smaller space and can give approximate answers to OLAP queries..OLAP analysts query different nodes in the OLAP cube interactively. To support such analysis by the PLA-based data cube without the unnecessary amplification of querying errors, inherent in the PL
26#
發(fā)表于 2025-3-26 02:04:36 | 只看該作者
Beat J. Meyer,Lina Badimon,James H. Chesebrochical semantic representation model of news comments using multiple information sources, called Hierarchical Semantic Neural Network (HSNN). In particular, we begin with a novel neural network model to learn document representation in a bottom-up way, capturing not only the semantics within sentenc
27#
發(fā)表于 2025-3-26 06:15:41 | 只看該作者
28#
發(fā)表于 2025-3-26 11:23:06 | 只看該作者
29#
發(fā)表于 2025-3-26 13:15:01 | 只看該作者
30#
發(fā)表于 2025-3-26 19:06:40 | 只看該作者
The Moral Status of Anencephalic ,nsive performance evaluation using five real datasets to validate our ideas and the proposed algorithms. The experimental result shows that our RELZ algorithm outperforms the existing algorithms significantly.
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