Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/2820| Title: | Applying Regression Technique On Environmental Data By WEKA |
| Authors: | Pellakuri, Vidyullatha Rao, D. Rajeswara Narayana, Lakshmi |
| Keywords: | Data Mining WEKA |
| Issue Date: | 2015 |
| Publisher: | International Journal of Applied Engineering Research |
| Abstract: | Now a day’s Data Mining process is implemented in different applications by using various tools and methods. Data mining tools are user-friendly and allow the knowledge driven decisions. For effective and efficient data representation and visualizations these tools are applied. WEKA is such tool which is easily implemented for any data streams such as medical, environmental, spatial, text, web, etc. This paper throws some light on prediction of air pollutants in environmental data for forthcoming year using data mining tool WEKA. The air pollutants data was collected from the power industry in Andhra Pradesh and forecasting the pollutants for forthcoming year. Using WEKA, data is analyzed by correlations and linear regression model within a short time period. |
| Description: | NITW |
| URI: | http://localhost:8080/xmlui/handle/123456789/2820 |
| Appears in Collections: | Mechanical Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ijaerv10n2_201.pdf | 508.83 kB | Adobe PDF | View/Open |
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