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

Sensor networks include of a few sensors put in throughout a spatially allotted community, which assemble details and periodically feed a primary server with the measured facts. The server screens the information, matters attainable alarms and computes quickly aggregates. As facts research requests could predicament either current and prior info, the server is compelled to shop the full move. however the restricted garage skill of a server may well decrease the quantity of information kept at the disk. One resolution is to compute summaries of the knowledge because it arrives, and to exploit those summaries to interpolate the genuine information. This paintings introduces a lately outlined spatio-temporal development, referred to as development cluster, to summarize, interpolate and determine anomalies in a sensor community. as an instance, the appliance of development cluster discovery to watch the potency of photovoltaic energy vegetation is mentioned. The paintings closes with comments on new probabilities for surveillance enabled by way of fresh advancements in sensing technology.

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Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance (SpringerBriefs in Computer Science) by Annalisa Appice,Anna Ciampi,Fabio Fumarola,Donato Malerba


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