Weather Analysis And Forecast With Tour City Weather Recommend System Based On Hadoop

Internet skills developed so fast and make many areas bound together though the Internet,therefore,generated lots of data,make traditional data process work flow cannot work well.Finding an efficient and reliable way to do data mining can solve this problem as well as gain many Knowledge Graph,which means a lot to many areas.Weather information,as a seasonal,regular information,the historical information means much greater to this specific area.And tourism is one of the most relevant area with weather.Cloud computing,offered by Google,is the hottest way to handle data.Cloud compute put the CPU on separate physical machines,which has great data process and storage ability,and can get correct result very fast.How to deploy a data mining platform on a Hadoop platform has been a hot topic.This article based on Hadoop platform,analyses and researches the data mining algorithm used on weather information.First,this arti cle discussed basic Hadoop skills deeply.Then,combined with weather information,introduced data mining algorithm.Moreover,this article made a system demand,model establish,weather data process,and combined with city information and weibo user data,made a personal notification.Finally,result shows that the weather data analysis and tour city recommend system can handle data efficiently,classification precisely and notification tour city information accurately.