Processing Weather Sensor Data Using Iterative MapReduce Approach

Abstract

Big Data is the most promising research area in the field of Cloud Computing. In areas like social networking applications, e- commerce, finance, health care, education, etc, huge amount of data is being accumulated. As new data and updates are constantly arriving, the results of data mining applications become stale and obsolete over time. Hence another approach is required for mining big data. Hence in this paper, an iterative approach is introduced which is an extension of already existing map reduce approach. This iterative approach is experimented with the real time weather sensor data for particular area. Furthermore, the performance is compared with the existing data mining applications of big data.

Authors and Affiliations

B. Vasudevan, A. S. Shanthi

Keywords

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  • EP ID EP21387
  • DOI -
  • Views 242
  • Downloads 3

How To Cite

B. Vasudevan, A. S. Shanthi (2015). Processing Weather Sensor Data Using Iterative MapReduce Approach. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(11), -. https://europub.co.uk/articles/-A-21387