A reliable and intelligent protocol for distributed data mining architecture in sporadic wireless sensor network

2015 ◽  
Author(s):  
Asif Ali Wagan ◽  
Low Tang Jung
Keyword(s):  
Data Mining ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Distributed Data Mining ◽  
Distributed Data

scholarly journals Distributed Data Mining in Wireless Sensor Networks

2016 ◽  
Vol 12 (11) ◽  
pp. 68
Author(s):  
Juan Du ◽  
Fenfen Wu
Keyword(s):  
Data Mining ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Rapid Development ◽  
Wireless Sensor ◽  
Distributed Data Mining ◽  
Distributed Data ◽  
Data Resource ◽  
Powerful Knowledge

With the rapid development and wide application of sensor network technology, consequently a huge volume of data would be continuously generated and collected. In order to process the data and analyze the data more accurate and efficient, the paper proposed a distributed data mining method in wireless sensor networks. Thus Smart Octopus, an open framework for seamlessly integrating sensor network and data mining technology, so that both of the huge amounts of data resource collected in sensor networks and the powerful knowledge discovery capability of data mining could be effectively and efficiently utilized, is discussed in this paper.

A Framework for Stream Data Mining over Wireless Sensor Network

2014 ◽  
Vol 631-632 ◽  
pp. 523-528
Author(s):  
Yan Qiu Zhang ◽  
Min Tu ◽  
Yuan Xu ◽  
Yu Li
Keyword(s):  
Data Mining ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Intrinsic Property ◽  
Wireless Sensor ◽  
Data Conversion ◽  
Distributed Data ◽  
Stream Data ◽  
Stream Data Mining ◽  
On Line

A wealth of stream data is produced in the application of wireless sensor network (WSN). The knowledge in stream data can be extracted by data mining and it is useful for decision making. However, it is challenging to apply classical data mining methods on the scenario of WSN due to the factors such as limited power supply, on-line mining, data conversion and dynamic topology. This paper proposed a framework for distributed data mining by combining the existing approaches with the intrinsic property of WSN.

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