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.
引用
收藏
页码:1 / 7
页数:6
相关论文
共 50 条
  • [1] Tourist Information Extraction Method from Tweets Without Tourist Spot Names for Tourist Information Visualization System
    Watanabe, Sayuri
    Yoshino, Takashi
    COLLABORATION TECHNOLOGIES AND SOCIAL COMPUTING, 2017, 10397 : 107 - 115
  • [2] Using information extraction for knowledge entering
    Vichot, F
    Wolinski, F
    Ferri, HC
    Urbani, D
    ADVANCES IN INTELLIGENT SYSTEMS: CONCEPTS, TOOLS AND APPLICATIONS, 1999, 21 : 191 - 200
  • [3] Information Extraction for a Tourist Recommender System
    Luberg, Ago
    Jaerv, Priit
    Tammet, Tanel
    INFORMATION AND COMMUNICATION TECHNOLOGIES IN TOURISM 2012, 2012, : 332 - 343
  • [4] Knowledge Extraction About Brand Image Using Information Retrieval Method
    Saitoh, Fumiaki
    Shiozawa, Fumiya
    Ishizu, Syohei
    HCI INTERNATIONAL 2016 - POSTERS' EXTENDED ABSTRACTS, PT I, 2016, 617 : 291 - 295
  • [5] A Study of Recommended Tourist Spot Information Extraction Using SNS
    Hoshino, Yuko
    Ishii, Eriko
    Yamada, Mitsuho
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON TOURISM RESEARCH, ICTR 2018, 2018, : 259 - 262
  • [6] Pattern and Knowledge Extraction using Process Data Analytics: A Tutorial
    Tsai, Yiting
    Lu, Qiugang
    Rippon, Lee
    Lim, Siang
    Tulsyan, Aditya
    Gopaluni, Bhushan
    IFAC PAPERSONLINE, 2018, 51 (18): : 13 - 18
  • [7] Improving information Extraction using knowledge model
    Chen, Yue
    PACLIC 24 - Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation, 2010, : 613 - 620
  • [8] Improving Information Extraction using Knowledge Model
    Chen, Yue
    PROCEEDINGS OF THE 24TH PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION, 2010, : 613 - 620
  • [9] Context Knowledge Extraction using Network Traffic Information
    Aguilar, Jose
    Jerez, Marxjhony
    Pinto, Angel
    Gutierrez de Mesa, Jose
    Montoya, Edwin
    2022 XVLIII LATIN AMERICAN COMPUTER CONFERENCE (CLEI 2022), 2022,
  • [10] Conditional Knowledge Extraction Using Contextual Information Enhancement
    Xu, Zhangbiao
    Zhang, Botao
    Gu, Jinguang
    Gao, Feng
    APPLIED SCIENCES-BASEL, 2023, 13 (08):