Change detection in web pages

L. B. Meegahapola, P. K. D. R. M. Alwis, L. B. E. H. Nimalarathna, V. G. Mallawaarachchi, D. A. Meedeniya and S. Jayarathna, "Change detection optimization in frequently changing web pages," 2017 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka, 2017, pp. 111-116. DOI: https://doi.org/10.1109/MERCon.2017.7980466

L. Meegahapola, R. Alwis, E. Nimalarathna, V. Mallawaarachchi, D. Meedeniya, S. Jayarathna, “Detection of Change Frequency in Web Pages to Optimize Server-based Scheduling”, International Conference on Advances in ICT for Emerging Regions (ICTer), IEEE explorer, pp.165-172, 2017. https://doi.org/10.1109/ICTER.2017.8257791

L. Meegahapola, R. Alwis, E. Nimalarathna, V. Mallawaarachchi, D. Meedeniya, S. Jayarathna, “Optimizing Change Detection in Distributed Digital Collections: An Architectural Perspective of Change Detection”, 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2017), IEEE Computer Society, Springer, pp. 277-282, Japan, 2017. DOI:https://doi.org/10.1109/SNPD.2017.8022733 (Video)

L. Meegahapola, R. Alwis, E. Heshan, V. Mallawaarachchi, D. Meedeniya and S. Jayarathna, "Adaptive technique for web page change detection using multi-threaded crawlers," 2017 Seventh International Conference on Innovative Computing Technology (INTECH), IEEE Xplore, Luton, 2017, pp. 120-125. DOI: https://doi.org/10.1109/INTECH.2017.8102430

L. B. Meegahapola, R. Alwis, E. Nimalarathna, V. Mallawaarachchi, D. Meedeniya and S. Jayarathna, "Random Forest Classifier based Scheduler Optimization for Search Engine Web Crawlers", 7th International Conference on Software and Computer Applications (ICSCA), ACM, Malaysia, 2018, pp. 285-289, DOI: https://doi.org/10.1145/3185089.3185103

V. Mallawaarachchi, L. Meegahapola, R. Madhushanka, E. Heshan, D. Meedeniya, and S. Jayarathne. 2019. Change Detection and Notification of Web Pages: A Survey. ACM Computing Surveys (CSUR). Vol. 53, no. 1, Article 15:1-35 (February 2020), https://doi.org/10.1145/3369876 ISSN:0360-0300, EISSN:1557-7341