epicardium
发表于 2025-3-23 10:15:12
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NEX
发表于 2025-3-23 15:12:19
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尾随
发表于 2025-3-23 18:34:13
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SLAY
发表于 2025-3-23 22:37:34
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迅速飞过
发表于 2025-3-24 04:20:56
A Survey of Stream Processing Problems and Techniques in Sensor Networks,nsor nodes are capable of communicating their readings, typically through wireless radio. Sensor nodes produce streams of data, that have to be processed in-situ, by the node itself, or to be transmitted through the network, and analyzed offline. In this chapter we describe recently proposed, effici
卧虎藏龙
发表于 2025-3-24 08:19:19
1386-2944 ata Streams: Models and Algorithms primarily discusses issues related to the mining aspects of data streams. Recent progress in hardware technology makes it possible for organizations to store and record large streams of transactional data. For example, even simple daily transactions such as using
deadlock
发表于 2025-3-24 14:18:57
https://doi.org/10.1007/978-3-0348-8497-6do this quickly, with no buffering of stream values and without comparing pairs of streams. Moreover, it is any-time, single pass, and it dynamically detects changes. The discovered trends can also be used to immediately spot potential anomalies, to do efficient forecasting and, more generally, to dramatically simplify further data processing.
NAG
发表于 2025-3-24 17:36:41
Computational Phonogram Archivingsed in-situ, by the node itself, or to be transmitted through the network, and analyzed offline. In this chapter we describe recently proposed, efficient distributed techniques for processing streams of data collected with a network of sensors.
meditation
发表于 2025-3-24 21:16:41
Book 2007 makes it possible for organizations to store and record large streams of transactional data. For example, even simple daily transactions such as using the credit card or phone result in automated data storage, which brings us to a fairly new topic called data streams...This volume covers mining asp
Indolent
发表于 2025-3-25 02:22:07
A Survey of Join Processing in Data Streams, terms):At any time ., the set of output tuples generated thus far by the join betweentwo streams .. and .. should be the same as the result of the relational (non-streaming) join between the sets of input tuples that have arrived thus far in ..and ...