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Spatial-Temporal Data Mining in Wireless Sensor Networks


Affiliations
1 School of Studies in Computer Science and I.T., Pt. Ravishankar Shukla University, Raipur C.G., India
     

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Data mining techniques are use to discover a meaningful knowledge from data set. These mining techniques have been applied to intrusion detection, customized marketing, web personalization and many real-life problems. Knowledge discovery from sensor data is an emerging research area because of its variety of applications are presents for our society. Wireless Sensor Networks (WSN), produce large scale of data in the form of streams. Spatiotemporal Mining in the sensor data provides useful information for different applications.

Keywords

WSN, Spatial-Temporal Data Mining.
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  • Spatial-Temporal Data Mining in Wireless Sensor Networks

Abstract Views: 170  |  PDF Views: 0

Authors

V. K. Patle
School of Studies in Computer Science and I.T., Pt. Ravishankar Shukla University, Raipur C.G., India

Abstract


Data mining techniques are use to discover a meaningful knowledge from data set. These mining techniques have been applied to intrusion detection, customized marketing, web personalization and many real-life problems. Knowledge discovery from sensor data is an emerging research area because of its variety of applications are presents for our society. Wireless Sensor Networks (WSN), produce large scale of data in the form of streams. Spatiotemporal Mining in the sensor data provides useful information for different applications.

Keywords


WSN, Spatial-Temporal Data Mining.