A study of Rainfall over India Using Data Mining

被引：0

作者：

Chowdari, K. K. ^{[1
]}

Girisha, R. ^{[2
]}

Gouda, K. C. ^{[3
]}

机构：

[1] BGS Inst Technol, Dept Comp Sci & Engn, Bellur Cross, Karnataka, India

[2] PES Coll Engn, Dept Comp Sci & Engn, Mandya, Karnataka, India

[3] CSIR CMMACS, Bangalore, Karnataka, India

来源：

2015 INTERNATIONAL CONFERENCE ON EMERGING RESEARCH IN ELECTRONICS, COMPUTER SCIENCE AND TECHNOLOGY (ICERECT) | 2015年

关键词：

Data Mining; weather and climate; spatio-temporal techniques; Clustering and Classification;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The data mining techniques are employed for efficient and real time analysis of Weather and Climate data. The main goal of studies on Climate is that users e.g. farmers, Scientist, decision & policy maker etc., from different industries e.g. Agriculture, Scientific, Aerospace etc., is required to understand the importance of various changes in weather and climate parameters like rainfall, humidity, temperature etc. Data unearthing from different sources both in temporal and spatial domains is critical for climate studies and also its impact on different verticals like health, water, energy etc. However, with the advancement in technology and availability of global Geo-graphical data, provides the data miners a new opportunities all together. This paper provides a better understanding of the weather and climate data using spatial - temporal mining. In the present work the development of novel algorithms to study the different mining techniques for weather and climate change studies will be carried out with the several case studies like rainfall analysis and simulation, cyclone analysis and simulation and temperature analysis and simulation etc.

引用

页码：44 / 47

页数：4

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