Call For Paper Volume:4 Issue:8 Aug'2017 |

Sensor Network Analysis Using Rule Data Mining

Publication Date : 10/06/2015



Author(s) :

Miss Vrushali S. Sakharkar , Ashwini Buskat , Ketki S. Muzumdar , Akhilesh A. Tayade.


Volume/Issue :
Volume 2
,
Issue 6
(06 - 2015)



Abstract :

Traditional data mining algorithms proposed to solve the classical association rules mining problem to be applied on sensor based class of applications that generate and use sensor data. In this paper we have analyzed framework of Sensor network in association rule data mining. Wireless Sensor Networks produce large scale of data in the form of streams. Recently, data mining techniques have received a great deal of attention in extracting knowledge from WSNs data. Mining association rules and the sensors data provides useful information for different applications .In this work we have analyzed mining PL T, SP-Tree and FP-growth from WSNs. We analyzed PLT for s100 and s200 with support value versus number of messages. We found that at PLT s200, the number of messages is decreased considerably with increase in support values. We compared PLT and FP- growth the CPU time is decreased considerably with increase in support values. The experimental result shown that in case of SP-Tree and PLT, the CPU time decreases slightly for PLT then there is no change for SP- Tree when support value increases.


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Sensor Network Analysis Using Rule Data Mining

June 10, 2015