@article{MAKHILLAJIT2005434907,
    title = {A Hybrid Machine Learning Approach for Extracting Information from WWW},
    journal = {Asian Journal of Information Technology},
    volume = {4},
    number = {3},
    pages = {41-48},
    year = {2005},
    issn = {1682-3915},
    doi = {ajit.2005.41.48},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2005.41.48},
    author = {Kun Yu, Zhi Cai,Xufa Wang and},
    keywords = {},
    abstract = {This paper presents a hybrid machine learning approach to extract information from WWW. It applies structure analysis to improve the extraction accuracy, with 96.5% average precision and 96.7% average recall for static web page, and 100% precision and recall for dynamic web page. Furthermore, the working time is short (< 800 ms) and the number of learning examples is small (< 4) due to little user participation. Our results prove that this approach offers the attractive advantageous of fast, convenient and high-accuracy requirements of practical applications.}
    }