Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Data mining: concepts and techniques
Data mining: concepts and techniques
Data Mining for Scientific and Engineering Applications
Data Mining for Scientific and Engineering Applications
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Solar radiation prediction using statistical approaches
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Coverage properties of clustered wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
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In this study, a data mining application based on DBSCAN (Density Based Spatial Clustering of Applications with Noise) was carried out on air temperature database which contains daily temperature data from country wide meteorology stations in Turkey. At the end of data mining process, we obtained clusters that have similar temperature trends. These clusters have been used to categorize Turkey into regions according to climatic characteristics. Statistical methods are widely used in meteorology; however they need extreme computing power. Data mining methods provide more performance and reliability than statistical methods.