A Review of Web Usage Mining Methodology and its Practical Implementation
DOI:
https://doi.org/10.70454/JRICST.2024.10105Keywords:
Web Mining, Web Usage, Data MiningAbstract
Data mining techniques are employed in online usage mining to evaluate user behavior on web pages and uncover usage patterns. There has been a dramatic uptick in interest in web usage mining from academics and industry professionals alike. The objective is to better comprehend how people use websites and cater to the requirements of web-based applications. Extensive research has already been conducted in web usage mining, a substantial and quickly developing subfield of web mining. To put internet usage mining into practice, a clearly defined technique is now required. This article presents a methodology derived from suggestions from literature initiatives. This review aims to help readers gain a firmer grasp of the technical state of Web Usage Mining Methodology and future direction. Researchers and practitioners can use this review to guide better decision-making by connecting theoretical knowledge with actual implementation. Also included a current overview of the literature. A quick review of web usage mining is provided.
References
[1] Kumar, Avinash, et al. "Web Mining and Web Usage Mining for Various Human-Driven Applications." Advanced Practical Approaches to Web Mining Techniques and Application, edited by Ahmed J. Obaid, et al., IGI Global, 2022, pp. 138-162. https://doi.org/10.4018/978-1-7998-9426-1.ch007
[2] K. Griazev and S. Ramanauskaitè, "Web mining taxonomy," 2018 Open Conference of Electrical, Electronic and Information Sciences (eStream), Vilnius, Lithuania, 2018, pp. 1-4, doi: 10.1109/eStream.2018.8394124.
[3] R. K. Shukla, P. Sharma, N. Samaiya and M. Kherajani, "WEB USAGE MINING-A Study of Web data pattern detecting methodologies and its applications in Data Mining," 2nd International Conference on Data, Engineering, and Applications (IDEA), Bhopal, India, 2020, pp. 1-6, doi: 10.1109/IDEA49133.2020.9170690.
[4] N. N. Akram and V. Ilango, "Intelligent Web Mining Techniques using Semantic Web," 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), Trichy, India, 2022, pp. 1-7, doi: 10.1109/ICEEICT53079.2022.9768546.
[5] L. Zhao and W. Jin, "Application of Web Data Mining and Information Combination Technology in E-commerce," 2022 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2022, pp. 1636-1639, doi: 10.1109/ICEARS53579.2022.9752152.
[6] S. Rathi, Y. Deshpande, S. Nagaral, A. Narkhede, R. Sajwani and V. Takalikar, "Analysis of User’s Learning Styles and Academic Emotions through Web Usage Mining," 2021 International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India, 2021, pp. 159-164, doi: 10.1109/ESCI50559.2021.9397037.
[7] Castellano, G., Fanelli, A.M., Torsello, M.A. (2013). Web Usage Mining: Discovering Usage Patterns for Web Applications. In: Velásquez, J., Palade, V., Jain, L. (eds) Advanced Techniques in Web Intelligence-2. Studies in Computational Intelligence, vol 452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33326-2_4
[8] B. Ravinder, S. K. Seeni, V. S. Prabhu, P. Asha, S. P. Maniraj and C. Srinivasan, "Web Data Mining with Organized Contents Using Naive Bayes Algorithm," 2024 2nd International Conference on Computer, Communication and Control (IC4), Indore, India, 2024, pp. 1-6, doi: 10.1109/IC457434.2024.10486403.
[9] T. Zaidi, A. Kumar and S. Pundeer, "Shifting from Syntactic to Semantics for Knowledge Exemplification Using Semantic Web (SW) Mining Techniques," 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE), Gautam Buddha Nagar, India, 2024, pp. 167-171, doi: 10.1109/IC3SE62002.2024.10593046.
[10] Abderahman Rejeb, Karim Rejeb, Andrea Appolloni, Horst Treiblmaier, Mohammad Iranmanesh, Exploring the impact of ChatGPT on education: A web mining and machine learning approach, , The International Journal of Management Education, Volume 22, Issue 1, 2024, 100932, ISSN 1472-8117, https://doi.org/10.1016/j.ijme.2024.100932.
[11] Horvat, M.; Krtalić, A.; Akagić, A.; Mekterović, I. Ontology-Based Data Observatory for Formal Knowledge Representation of UXO Using Advanced Semantic Web Technologies. Electronics 2024, 13, 814. https://doi.org/10.3390/electronics13050814
[12] Alqahtani, S.I.; Yafooz, W.M.S.; Alsaeedi, A.; Syed, L.; Alluhaibi, R. Children’s Safety on YouTube: A Systematic Review. Appl. Sci. 2023, 13, 4044. https://doi.org/10.3390/app13064044
[13] Lee, J.W.; Han, D.H. Data Analysis of Psychological Approaches to Soccer Research: Using LDA Topic Modeling. Behav. Sci. 2023, 13, 787. https://doi.org/10.3390/bs13100787
[14] Oh, M.; Ahn, C.; Nam, H.; Choi, S. New Trends in Smart Cities: The Evolutionary Directions Using Topic Modeling and Network Analysis. Systems 2023, 11, 410. https://doi.org/10.3390/systems11080410
[15] Bottino, L.; Settino, M.; Promenzio, L.; Cannataro, M. Scoliosis Management through Apps and Software Tools. Int. J. Environ. Res. Public Health 2023, 20, 5520. https://doi.org/10.3390/ijerph20085520
[16] Génio, J.; Trifan, A.; Neves, A.J.R. Knowledge Maps as Support Tool for Managing Scientific Competences: A Case Study at a Portuguese Research Institute. Publications 2023, 11, 19. https://doi.org/10.3390/publications11010019
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Copyright (c) 2024 Bhavana Shrivastava, Anurag Shrivastava (Author)
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