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Data Mining And Display Based On Tencent Cloud

Posted on:2019-10-10Degree:MasterType:Thesis
Country:ChinaCandidate:L WangFull Text:PDF
GTID:2428330548975458Subject:Detection Technology and Automation
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Big data has infiltrated all sectors of society,and its number is growing exponentially every day,not only in complex types,but also in dynamic characteristics.How to excavate the useful information for the country,enterprises and scientific research from the massive data has become the research topic and difficulty.Therefore,this article mainly studies with API and web crawler technology for data source,then processing data and analysing by using the data mining algorithms,through the visual graphics analysis corresponding conclusions by using the Tableau business intelligence software.Finally,the above real-time graphics are integrated in Tencent cloud display.The main work is as follows:Using depth first strategy to crawl star of patent retrieval system to search some universities in Yunnan province's patent application data from 2007 to 2007 and receive the data shown in the Tableau,to view between patent's number of universities and scientific research innovation ability's association.Based on Kalman filtering error value decreases,the characteristics of the data,multiple iterations to filter the output data as a new input data,after many iterations so that when the Kalman filtering real value as accurately as possible close to the real value,but the number of iterations is not the more the better,when the number of iterations too much data distortion caused by filtering,so choose a suitable number of iterations is particularly important.Will be improved Kalman filtering algorithm to get the error curve with the traditional Kalman filter to get the error curve of comparison,can know the improved Kalman filtering algorithm is the initial value of the smaller error curve,so after filtering to get closer to the true value of the actual temperature.Then,the improved Kalman filtering algorithm and the smoothing exponential filtering algorithm are compared.The former prediction results are also closer to the actual temperature.As the most popular business intelligence software nowadays,Tableau has excellent data visualization and display effect and strong data graph making ability.R language can conduct statistics and analysis of data,and has rich software package and chart advantages.Most importantly,R language can be used and displayed across platforms.This paper integrates Tableau and R languages to make up for the deficiencies of Tableau and R languages respectively,and the experiment proves that the advantages of the two languages can indeed complement each other.Tableau and R languages were used to arrange 34 cities above provincial capitals in China,and visualized graphics were used to illustrate the correlation between livable cities in China and temperature,humidity and air quality index.Webcams are a combination of webcams and web technologies that allow real-time access to webcams based on their IP addresses.In this paper,using the network camera capture camera space face image,using support vector machine(SVM)algorithm is used to recognize faces,facial recognition as a toll collection method,also belong to the part of data mining,the network camera makes people can remote control camera.Tencent's cloud server platform offers flexible,scalable,secure,simple and efficient computing services that many companies upload to the cloud.This paper construct the system of local uploaded to Tencent cloud server and can run web server software cross-platform-Apache deployment system,make people through any terminal information data in to the system.
Keywords/Search Tags:improved Kalman filtering algorithm, Tencent cloud server, Tableau, R language
PDF Full Text Request
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