Titlebook: Database Systems for Advanced Applications; 18th International C Weiyi Meng,Ling Feng,Wei Song Conference proceedings 2013 Springer-Verlag

出租

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(xué)科排名




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




書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度學(xué)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(xué)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(xué)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(xué)科排名

吵鬧

https://doi.org/10.1007/978-3-642-37450-0Web services; data semantics; geo-social networking; location based services; recommendation

FILTH

978-3-642-37449-4Springer-Verlag Berlin Heidelberg 2013

Adenoma

https://doi.org/10.1007/978-3-031-22539-0y. Utilizing disk-based parallel iterative computing is an economic solution. However, costs of disk I/O and communication affect the performance heavily. This paper proposes a state-transition model for SSSP and then designs two optimization strategies based on it. First, we introduce a tunable has

CRUC

小臼

Terminal Care Education for Doctorshe semantic web data on position-oriented query. In this paper, we introduce spatial SPARQL, a variant of SPARQL language, for querying spatial information integrated RDF data. Besides, we design a novel index SS-tree for evaluating the spatial queries. Based on the index, we propose a search algori

小臼

Stephen J. Ball,Sarah Bignold,Alan Cribb and sophisticated models exist to compare various data structures and to estimate query costs based on disk IO operations. Cost models for in-memory databases shift the focus from disk IOs to main memory accesses and CPU costs. However, modeling memory accesses is fundamentally different and common

分發(fā)

Terminal Care Education for DoctorsThis is mainly due to the spectacular development of ontologies in several domains like E-commerce, Engineering, Medicine, etc. Contrary to a traditional database, where its tuples are stored in a relational (table) layout, a . stores independently ontology and its instances in one of the three main

呼吸

POINT

Perceiving Distinct Particularsd) in a low-power mode, where a subset of nodes were powered off. Effectively reflecting the updated data is vital in making a distributed file system, such as the Hadoop Distributed File System (HDFS), power proportional. This paper presents a novel architecture, a NameNode and DataNode Coupling Ha