Titlebook: Data Streams; Models and Algorithm Charu C. Aggarwal Book 2007 Springer-Verlag US 2007 algorithm.algorithms.data.data streams.database.freq

epicardium

NEX

尾隨

SLAY

迅速飛過

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

臥虎藏龍

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

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

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

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

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 ...