Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Reservoir sampling"'
Publikováno v:
Machine Learning with Applications, Vol 15, Iss , Pp 100530- (2024)
Machine learning models for near collision detection in autonomous vehicles promise enhanced predictive power. However, training on these large datasets presents storage and computational challenges, particularly when operated on conventional computi
Externí odkaz:
https://doaj.org/article/8cf6aaeea5f5479ca0bc26c0f7b299bb
Akademický článek
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When evaluating complex analytical queries on high-velocity data streams, many systems cannot run those queries on all elements of a stream. Sampling is a widely used method to reduce the system load by replacing the input with a representative yet m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c5063b89bf8208fa4f478292a1c042f
Autor:
Saiful Akbar, Berman Danyel Sinaga
Publikováno v:
International Journal on Electrical Engineering and Informatics. 13:620-637
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b727b3a00f7ed279826a76849faf8ed
https://doi.org/10.15676/ijeei.2021.13.3.8
https://doi.org/10.15676/ijeei.2021.13.3.8
Publikováno v:
The Journal of Supercomputing. 78:3561-3604
Both data shuffling and cache recovery are essential parts of the Spark system, and they directly affect Spark parallel computing performance. Existing dynamic partitioning schemes to solve the data skewing problem in the data shuffle phase suffer fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f6d121c0fbac7bb8244814234adf953
https://doi.org/10.1007/s11227-021-04000-2
https://doi.org/10.1007/s11227-021-04000-2
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 16:1-30
The streams where multiple transactions are associated with the same key are prevalent in practice, e.g., a customer has multiple shopping records arriving at different time. Itemset frequency estimation on such streams is very challenging since samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b17d590c4e4aca5b5b68a4481725e359
https://doi.org/10.1145/3465238
https://doi.org/10.1145/3465238
Akademický článek
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Publikováno v:
Malaysian Journal of Computing, Vol 2, Iss 2, Pp 1-12 (2014)
Top-k frequent pattern discovery is indeed an association analysis concerning automatic extraction of the k most correlated and interesting patterns from large databases. Current studies in association mining concentrate on how to effectively find al
Externí odkaz:
https://doaj.org/article/9576657fb0734c9e99b79f95f78a177a
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 15:1-52
We introduce Tiered Sampling , a novel technique for estimating the count of sparse motifs in massive graphs whose edges are observed in a stream. Our technique requires only a single pass on the data and uses a memory of fixed size M , which can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4b07301740f6e4dad6c4df24a23ce60
https://doi.org/10.1145/3441299
https://doi.org/10.1145/3441299
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 15:1-27
Temporal networks representing a stream of timestamped edges are seemingly ubiquitous in the real world. However, the massive size and continuous nature of these networks make them fundamentally challenging to analyze and leverage for descriptive and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdaed6cf0e3177b60976d0f4c7ab88c4
https://doi.org/10.1145/3442202
https://doi.org/10.1145/3442202