文章基本信息

标题：Analysis of Indian Weather Data Sets Using Data Mining Techniques
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作者：T V Rajini kanth ; V V SSS Balaram ; N.Rajasekhar 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2014
卷号：4
期号：5
页码：89-94
DOI：10.5121/csit.2014.4510
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：India has a typical weather conditions consisting of various seasons and geographical conditions.Countryhas extreme high temperatures at rajasthan desert, cold climate at Himalayas and heavy rainfall atchirapunji. These extreme variations in temperatures make us to feel difficult in inferring / predictions ofweather effectively. It requires higher scientific techniques / methods like machine learning algorithmsapplications for effective study and predictions of weather conditions. In this paper, we applied K-meanscluster algorithm for grouping similar data sets together and also applied J48 classification techniquealong with linear regression analysis.
关键词：Geographical conditions; Temperatures; weather; clustering; classification