Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shiva Jahangiri"'
Autor:
Shiva Jahangiri, Hassan Abdi
Publikováno v:
Taḥqīqāt-i ̒Ulūm-i Raftārī, Vol 20, Iss 4, Pp 707-717 (2023)
Aim and Background: Quality of life includes different dimensions of physical, mental and social health and comfort of people's lives and is affected by various factors. For this reason, this research was conducted with the aim of predicting emotiona
Externí odkaz:
https://doaj.org/article/8ee0bef6bcd64443aa8ee16f3d5104c0
Publikováno v:
Proceedings of the VLDB Endowment. 15:2257-2269
Hybrid Hash Join (HHJ) has proven to be one of the most efficient and widely-used join algorithms. While HHJ's performance depends largely on accurate statistics and information about the input relations, it may not always be practical or possible fo
Autor:
Alexander Behm, Michael Blow, Ian Maxon, Pouria Pirzadeh, Chen Li, Shiva Jahangiri, Taewoo Kim, Murtadha Al Hubail, Michael J. Carey, Chen Luo, Jianfeng Jia, Yingyi Bu, Vinayak Borkar
Publikováno v:
Software: Practice and Experience. 50:1114-1151
Autor:
Shiva Jahangiri
Publikováno v:
SIGMOD Conference
Benchmarks have always been one of the greatest assets in evaluating a Data Management System (DBMS) performance and providing a standard way to compare different DBMSs from various angles. As DBMSs evolve over time, new benchmarks are created, and t
Autor:
Shiva Jahangiri
Publikováno v:
SIGMOD Conference
Autor:
Shiva Jahangiri, Aliyah Arunasalam, Tansel Uras, Sven Koenig, Liron Cohen, T. K. Satish Kumar
Publikováno v:
IJCAI
We present a new preprocessing algorithm for embedding the nodes of a given edge-weighted undirected graph into a Euclidean space. The Euclidean distance between any two nodes in this space approximates the length of the shortest path between them in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7640f8f987f2f8cb702e8ff046de95bb
http://arxiv.org/abs/1706.02792
http://arxiv.org/abs/1706.02792
Autor:
Hieu Nguyen, Sandy Irani, Shiva Jahangiri, Ryan Tani, Connor Gorman, Jason Yap, Shahram Ghandeharizadeh, Jenny Lam
Publikováno v:
Middleware (Posters & Demos)
This is a demonstration of KOSAR, a middleware to enhance the performance of SQL applications with workloads that exhibit a high read to write ratios. It show cases the administrative interface of KOSAR using a social networking benchmark named BG. W