%0 Journal Article
%T Inductive learning<br>Inductive Learning
%A Wu Xindong
%A <br>Wu
%A Xindong
%J 计算机科学技术学报
%D 1993
%I 
%X Machine learning(ML)is a major subfield of artificial intelligence(AI).It has been seen as a feasi- ble way of avoiding the knowledge bottleneck problem in knowledge-based systems development.Re- search on ML has concentrated in the main on inductive learning,a paradigm for inducing rules from unordered sets of exmaples.AQ11 and ID3,the two most widespread algorithms in ML,are both induc- tive.This paper first summarizes AQ11,ID3 and the newly-developed extension matrix approach based HCV algorithm;and then reviews the recent development of inductive learing and automatic knowledge acquisition from data bases.
%K Generalization-specialization
%K decision trees
%K extension matrixes
%K machine learning
%K data bases<br>机器学习
%K 人工智能
%K 归纳学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=140ED6251CE64AE8F3039BCF7531BAAC&yid=D418FDC97F7C2EBA&vid=5D311CA918CA9A03&iid=0B39A22176CE99FB&sid=7F5DDA4924737DF5&eid=7C72DBC13F2D71EC&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=3&reference_num=72