Knowledge Extraction Using Auto Regression Method -A Tourist Information Extraction and Analytics

被引:0
|
作者
Arun M.R.M. [1 ]
Sumitha T. [2 ]
Maria M.V.L. [3 ]
Rejin P.N.R. [1 ]
机构
[1] Assistant Professor, Department of Computer Science and Engineering, R.M.K College of Engineering and Technology, Chennai
[2] Assistant Professor, Department of Computer Science and Engineering, R.M.K Engineering College, Chennai
[3] Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Chennai
来源
关键词
Aggregation; Aggressive-data sampling; Autoregression analysis; Data Analytics; Data Scrabber; Decision Making; Knowledge Extraction; Prediction;
D O I
10.4108/eai.27-1-2021.168503
中图分类号
学科分类号
摘要
Data analytics is played a vital role in Information Technology and Information Technology essential services ITeS for making effective decisions. The demand for tourism and prediction of tourist arrivals are important for tourism organisation. In this paper, we analyse tourist and extract information using data analytics process. The web data are processed using travellers' details and applying an aggregate function to calculate the searching index. Here, we use the autoregression analytics method for accurate prediction. The tourist information is recorded and creates a system log for processing and extracting information. The interaction between each record and their logs are used for data processing and analytics model. This paper uses a recommendation system for the data analytics process and compares the results with existing models. Our proposed method provides good and accurate results for tourism organisation.___________________________________________ © 2021. Arun Manicka Raja M et al.,. All Rights Reserved.
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页码:1 / 7
页数:6
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