2015/01/26 by Ratul Dey, Ratul Dey Sanjay Chakraborty Lopamudra Dey, Dey, Ratul Dey Sanjay Chakraborty Lopamudra
Computer Science · Environmental Science · #Databases (cs.DB) #FOS: Computer and information sciences #Face and Expression Recognition #Hydrological Forecasting Using AI #Metaheuristic Optimization Algorithms Research #cs.DB
paper · pdf · doi:10.48550/arxiv.1501.06456
1st International Science & Technology Congress(IEMCON-2015) Elsevier
arxiv created 2015/01/26 · openalex publication_date 2015/01/26 · arxiv updated 2015/01/27 · openalex created_date 2024/04/11 · openalex updated_date 2026/07/28
Data mining is a popular concept of mined necessary data from a large set of data. Data mining using clustering is a powerful way to analyze data and gives prediction. In this paper non structural time series data is used to forecast daily average temperature, humidity and overall weather conditions of Kolkata city. The air pollution data have been taken from West Bengal Pollution Control Board to build the original dataset on which the prediction approach of this paper is studied and applied. This paper describes a new technique to predict the weather conditions using convex hull which gives structural data and then apply incremental K-means to define the appropriate clusters. It splits the total database into four separate databases with respect to different weather conditions. In the final step, the result will be calculated on the basis of priority based protocol which is defined based on some mathematical deduction.