TY  - JOUR
T1  - A Hybrid Machine Learning Approach for Extracting Information from WWW
AU - , Kun Yu, Zhi Cai AU - , Xufa Wang AU - , Qingsheng Cai 
JO  - Asian Journal of Information Technology
VL  - 4
IS  - 3
SP  - 41
EP  - 48
PY  - 2005
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2005.41.48
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2005.41.48
KW  - 
AB  - 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.
ER  -