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
  • [21] Knowledge representation issues in information extraction
    Wee, LKA
    Tong, LC
    Tan, CL
    PRICAI'98: TOPICS IN ARTIFICIAL INTELLIGENCE, 1998, 1531 : 448 - 458
  • [22] Collocation Extraction Method Using Mutual Information Contents
    Fukumura, Iori
    Shin, Sanggyu
    Proceedings - 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022, 2022, : 663 - 664
  • [23] Character extraction method without prior knowledge on size and position information
    Hontani, H
    Koga, T
    IVEC 2001: PROCEEDINGS OF THE IEEE INTERNATIONAL VEHICLE ELECTRONICS CONFERENCE, 2002, : 67 - 72
  • [24] A method of the evolutional information extraction
    Zhang, HT
    Zhao, WY
    Tan, RH
    Proceedings of the International Conference on Mechanical Engineering and Mechanics 2005, Vols 1 and 2, 2005, : 124 - 126
  • [25] A method for web information extraction
    Lam, Man I.
    Gong, Zhiguo
    Muyeba, Maybin
    PROGRESS IN WWW RESEARCH AND DEVELOPMENT, PROCEEDINGS, 2008, 4976 : 383 - +
  • [26] Query based information retrieval and knowledge extraction using Hadith datasets
    Mahmood, Ahsan
    Khan, Hikmat Ullah
    Zahoor-Ur-Rehman
    Khan, Wahab
    2017 13TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES (ICET 2017), 2017,
  • [27] Mining knowledge from text repositories using information extraction: A review
    Sirsat, Sandeep R.
    Chavan, Vinay
    Deshpande, Shrinivas P.
    SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2014, 39 (01): : 53 - 62
  • [28] Mining knowledge from text repositories using information extraction: A review
    SANDEEP R SIRSAT
    DR VINAY CHAVAN
    DR SHRINIVAS P DESHPANDE
    Sadhana, 2014, 39 : 53 - 62
  • [29] Document knowledge representation using description logics for information extraction and querying
    Manjula, D
    Aghila, G
    Geetha, TV
    ITCC 2003: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: COMPUTERS AND COMMUNICATIONS, PROCEEDINGS, 2003, : 189 - 193
  • [30] Extraction and organization of encyclopedic knowledge information using the World Wide Web
    Fujii, Atsushi
    Ishikawa, Tetsuya
    Systems and Computers in Japan, 2005, 36 (14): : 81 - 90