Multidimensional Association rule based data mining technique for cattle health monitoring using Wireless Sensor Network

Wireless Sensor Networks produce large amount of data during their lifetime operation. Sometimes this data is in unknown format and bulky. Hence data storage and appropriate mining technique become a critical issue for this domain. Recent innovation in data mining technique receives attention in extracting knowledge from WSNs data. In this paper, we have proposed a Multidimensional Association rule based data mining technique for a cattle health monitoring system based on WSN. We have also given an overview of data mining concept with some selected mining techniques used for WSNs data. We have discussed the different diseases and their symptoms found in cattle. Finally we have proposed a rule based mining technique for identifying the disease based on symptom.