Data Mining Techniques in Sensor Networks: Summarization, by Annalisa Appice,Anna Ciampi,Fabio Fumarola,Donato Malerba

By Annalisa Appice,Anna Ciampi,Fabio Fumarola,Donato Malerba

Sensor networks contain of a few sensors put in throughout a spatially disbursed community, which assemble details and periodically feed a crucial server with the measured facts. The server displays the information, concerns attainable alarms and computes quick aggregates. As info research requests could situation either current and prior info, the server is compelled to shop the total circulate. however the constrained garage means of a server could lessen the volume of information saved at the disk. One answer is to compute summaries of the information because it arrives, and to take advantage of those summaries to interpolate the true info. This paintings introduces a lately outlined spatio-temporal trend, referred to as pattern cluster, to summarize, interpolate and establish anomalies in a sensor community. to illustrate, the applying of development cluster discovery to observe the potency of photovoltaic strength crops is mentioned. The paintings closes with feedback on new probabilities for surveillance enabled via fresh advancements in sensing technology.

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