Distributed Data Classification in Sensor Networks

Provided by: Israel Institute of Technology
Topic: Big Data
Format: PDF
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., a local sensor read, and a concise picture of the global system state needs to be obtained. To this end, the authors define the distributed classification problem, in which numerous interconnected nodes compute a classification of their data, i.e., partition these values into multiple collections, and describe each collection concisely.

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