An architectural framework for knowledge extraction from meteorological data
by Sagar S. De; Minati Mishra; Satchidananda Dehuri
International Journal of Applied Management Science (IJAMS), Vol. 6, No. 4, 2014

Abstract: The methods of knowledge extraction from spatio-temporal data such as meteorological domain suffer from various problems like missing values, noise, improper format, and large in volume. Therefore, data pre-processing and reorganisation are the important concerns of this domain. In this paper, we have discussed a layered framework for data fetching, pre-processing and persisting. Further, we develop knowledge extraction modules for supporting the future extensibility and reusing well established tools. We have presented experimental results achieved using this architecture, in addition to its other potential benefits.

Online publication date: Sat, 07-Feb-2015

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