Overview of data mining technique for WSN based air pollution detection system

  Snehal Sakarde,  Mr. Manoj Chaudhary,  Mrs. Shweta Gode

In the Industrial environment there are various technical parameters which have to be maintained. If it is not maintained in the range then it will lead a large catastrophe. So, we need to maintain the climate. There is some parameter which is important like temperature, humidity, air flow etc. But, due to huge variation in the environment these parameters are vary continuously. If we analyze the variation we need to discover the meaning full data which will help us to generate the pattern and rule. There is large quantity of data received from sensor and stored in server. So, the data mining technique need to apply to get meaning full data and rule.

Keywords- Data mining, clustering: Hierarchical Clustering Algorithm, K- means Clustering Algorithm

Unique Identification Number - IJEDR1401132
Page Number(s) - 730-733
Pubished in - Volume 2 | Issue 1 | March 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Snehal Sakarde,  Mr. Manoj Chaudhary,  Mrs. Shweta Gode,   "Overview of data mining technique for WSN based air pollution detection system", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 1, pp.730-733, March 2014, Available at :http://www.ijedr.org/papers/IJEDR1401132.pdf