weather perdition with data mining techniques
Keywords:
Weather Forecasting, Data MiningAbstract
Weather forecasting is an important application in meteorology and has been one of the most scientifically and technologically challenging problems around the world. In this paper, we investigate the use of data mining techniques in forecasting maximum temperature, rainfall, evaporation and wind speed. Weather prediction approaches are challenged by complex weather phenomena with limited observations and past data. Weather phenomena have many parameters that are impossible to enumerate and measure. Increasing development on communication systems enabled weather forecast expert systems to integrate and share resources and thus hybrid system has emerged. Even though these improvements on weather forecast, these expert systems can’t be fully reliable since weather forecast is main problem.
References
- D Fallows, “Search Engine Use,” technical report, Pew Internet and Am. Life Project, http://www.pewinternet.org/Reports/2008/Search-Engine-Use.aspx. Aug. 2008.
- comScore, “Global Search Market Grows 46 Percent in2009,”http://www.comscore.com/Press_Events/Press_Releases/2010/1/Global_Search_Market_Grows_46_%_in_2009, Jan. 2010.
- J Coffman and A.C. Weaver, “A Framework for Evaluating Database Keyword Search Strategies,” Proc. 19th ACM Int’l Conf. Information and Knowledge Management (CIKM ’10), pp. 729-738,Oct. 2010.
- Y Chen, W. Wang, Z. Liu, and X. Lin, “Keyword Search on Structured and Semi-Structured Data,” Proc. ACM SIGMOD Int’l Conf. Management of Data (SIGMOD ’09), pp. 1005-1010, June 2009.
- W Webber, “Evaluating the Effectiveness of Keyword Search,” IEEE Data Eng. Bull., vol.33, no. 1, pp. 54-59, Mar. 2010.
- A Baid, I. Rae, J. Li, A. Doan, and J. Naughton, “Toward Scalable Keyword Search over Relational Data,” Proc. VLDB Endowment, vol. 3, no. 1, pp. 140-149, 2010.
- Q Su and J. Widom, “Indexing Relational Database ContentOffline for Efficient Keyword-Based Search,” Proc. Ninth Int’l Database Eng. and Application Symp. (IDEAS ’05), pp. 297-306, July,2005
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