WebNov 30, 2011 · gSketch: On Query Estimation in Graph Streams Authors: Peixiang Zhao Charu C. Aggarwal IBM Min Wang Fudan University Abstract and Figures Many dynamic … WebIn this paper, we propose a new graph sketch method, gSketch, which combines well studied synopses for traditional data streams with a sketch partitioning technique, to estimate and optimize the responses to basic queries on graph streams. ... We consider two different scenarios for query estimation: (1) A graph stream sample is available; (2 ...
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WebApr 6, 2024 · Request PDF LSketch: A Label-Enabled Graph Stream Sketch Toward Time-Sensitive Queries Graph streams represent data interactions in real applications. The mining of graph streams plays an ... WebNov 30, 2011 · In this paper, we propose a new graph sketch method, gSketch, which combines well studied synopses for traditional data streams with a sketch partitioning …
Webcused on the query estimation issue on large graph streams. On the other hand, sketch synopses, including but not limited to AMS [5], Lossy Counting [23], CountMin [14] and … WebOur filter can accurately estimate both cold and hot items, giving it a genericity that makes it applicable to many stream processing tasks. To illustrate the benefits of our filter, we deploy it on three typical stream processing tasks and experimental results show speed improvements of up to 4.7 times, and accuracy improvements of up to 51 times.
WebA key property of a graph stream is that it is dynamically updated and the speed of incoming edges can be very high. Therefore, the standard stream constraint of being … WebMay 9, 2024 · Graph stream is widely applied in many application scenarios to describe the relationships in social networks, communication networks, academic collaboration …
WebIn this paper, we propose a new graph sketch method, gSketch, which combines well studied synopses for traditional data streams with a sketch partitioning technique, to …
WebApr 1, 2024 · This paper proposes a new graph sketch method, gSketch, which combines well studied synopses for traditional data streams with a sketch partitioning technique, to estimate and optimize the responses to basic queries on graph streams. 83 PDF View 1 excerpt, references background Query-friendly compression of graph streams Arijit … fremont cottonwood fluffWebZhao, P., Aggarwal, C.C., Wang, M.: gSketch: on query estimation in graph streams. Proc. VLDB 5, 193–204 (2011) 4. Roy, P., Khan, A., Alonso, G.: Augmented sketch: faster and more accurate stream processing. In: Proceedings of ACM SIGMOD, pp. 1449–1463 (2016) 5. Chen, B., Shrivastava, A.: Densified winner take all (WTA) hashing for sparse … faster choppingfaster chicken stew casseroleWebmassive and rapid data streams, such as sketch [9], [7], [23] and space-saving [15]. These synopsis structures are suitable for frequency estimation, heavy-hitter, and top-k queries. However, a direct adaptation of the aforementioned stream compressing techniques over graph-edge or graph-node streams lose the underlying structural information ... faster chimneyWebC. C. A. Peixiang Zhao and M. Wang, "gsketch: on query estimation in graph stream," in Proc. of VLDB, 2011. M. Charikar, K. C. Chen, and M. Farach-Colton, "Finding frequent items in data streams," in Proc. of ICALP, 2002. G. Cormode, "Sketch techniques for approximate query processing," in Foundations and Trends in Databases. NOW … fremont co humane societyWebThe basic idea of graph stream analysis is to estimate the exact query result of a graph stream based on the sampling results. Colorful triangle counting [28] is an example. However, it needs to know the number of triangles and the maximum number of trian-gles of an edge to set the possibility value. This is not feasible in practical applications. fremont cottonwood range mapWebIn this paper, we propose a new graph sketch method, gSketch, which combines well studied synopses for traditional data streams with a sketch partitioning technique, to … faster chips