Cite Article
Cite Article
MLA
Li, Shuang, and Xiaoguo Yao. "An Approach for Detecting Local Outliers in Grid Queries." IJGHPC vol.16, no.1 2024: pp.1-16. http://doi.org/10.4018/IJGHPC.336474
APA
Li, S. & Yao, X. (2024). An Approach for Detecting Local Outliers in Grid Queries. International Journal of Grid and High Performance Computing (IJGHPC), 16 (1), 1-16. http://doi.org/10.4018/IJGHPC.336474
Chicago
Li, Shuang, and Xiaoguo Yao. "An Approach for Detecting Local Outliers in Grid Queries," International Journal of Grid and High Performance Computing (IJGHPC) 16, no.1: 1-16. http://doi.org/10.4018/IJGHPC.336474
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International Journal of Grid and High Performance Computing (IJGHPC) The International Journal of Grid and High Performance Computing (IJGHPC) examines current, state-of-the art research on all aspects of grid and cloud evolution, middleware, standards, API, economy, education, services, algorithms, collaboration, impact, instrumentation, security, portals, trends, challenges, models, work flow management, wireless systems, and high performance computing. This journal will be instrumental in the improvement and development of theory and practice in grid and cloud computing.
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