GDL

Implementation of Data Mining Techniques for Meteorological Data

ISSN-2223-4985
Journal from gdlhub / 2012-06-22 14:37:34
Oleh : Sarah N. Kohail , Alaa M. El-Halees, International Journal of Information and Communication Technology Research
Dibuat : 2012-06-22, dengan 1 file

Keyword : Data Mining ,Meteorology, Weather Prediction.
Url : http://esjournals.org/index.php
Sumber pengambilan dokumen : Internet

Meteorological data mining is a form of data mining concerned with finding hidden patterns inside largely available

meteorological data, so that the information retrieved can be transformed into usable knowledge. Weather is one of the

meteorological data that is rich by important knowledge. In this paper we try to extract useful knowledge from weather

daily historical data collected locally at Gaza Strip city. The data include nine years period [1977-1985]. After data

preprocessing, we apply outlier analysis, clustering, prediction, classification and association rules mining techniques. For

each mining technique, we present the extracted knowledge and describe its importance in meteorological field.

Deskripsi Alternatif :

Meteorological data mining is a form of data mining concerned with finding hidden patterns inside largely available

meteorological data, so that the information retrieved can be transformed into usable knowledge. Weather is one of the

meteorological data that is rich by important knowledge. In this paper we try to extract useful knowledge from weather

daily historical data collected locally at Gaza Strip city. The data include nine years period [1977-1985]. After data

preprocessing, we apply outlier analysis, clustering, prediction, classification and association rules mining techniques. For

each mining technique, we present the extracted knowledge and describe its importance in meteorological field.

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