Titlebook: Data Management. Data, Data Everywhere; 24th British Nationa Richard Cooper,Jessie Kennedy Conference proceedings 2007 Springer-Verlag Berl

ONSET

書目名稱Data Management. Data, Data Everywhere影響因子(影響力)




書目名稱Data Management. Data, Data Everywhere影響因子(影響力)學(xué)科排名




書目名稱Data Management. Data, Data Everywhere網(wǎng)絡(luò)公開度




書目名稱Data Management. Data, Data Everywhere網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Management. Data, Data Everywhere被引頻次




書目名稱Data Management. Data, Data Everywhere被引頻次學(xué)科排名




書目名稱Data Management. Data, Data Everywhere年度引用




書目名稱Data Management. Data, Data Everywhere年度引用學(xué)科排名




書目名稱Data Management. Data, Data Everywhere讀者反饋




書目名稱Data Management. Data, Data Everywhere讀者反饋學(xué)科排名

起草

BIAS

OOXSearch: A Search Engine for Answering Loosely Structured XML Queries Using OO Programmingarch engine called OOXSearch, which answers loosely structured queries. The recall and precision of the engine were evaluated experimentally and compared with two recent proposed systems [1, 2] and the results showed marked improvement.

想象

密碼

insurgent

Volker Krüger,Shaohua Zhou,Rama Chellappang a multidimensional index. We improve the recognition speed of the proposed algorithm using the association rule technique, which is a widely adopted data mining technique. The proposed algorithm has the advantage that it can be applied regardless of the language, size, and font of the characters

insurgent

Greedy Kernel Principal Component Analysisof SBML documents, pathway reconstruction/visualization. SPDBSW has been implemented by the combination SPDBS and external web services such as OLS, KEGG and NCBI. And user can get more confidential and delicate information from KEGG or NCBI through their web services. The system can be extended or

粘

Frank H. P. Fitzek,Marcos D. Katzarch engine called OOXSearch, which answers loosely structured queries. The recall and precision of the engine were evaluated experimentally and compared with two recent proposed systems [1, 2] and the results showed marked improvement.

兒童

https://doi.org/10.1007/978-3-319-58685-4op-down path matching and bottom-up path selections to efficiently evaluate linear path expressions. For twig queries, we perform structural joins at branch points. Through experimental evaluation on standard datasets, we show that our approach outperforms the existing path-index based approaches wh

Mercantile