重庆邮电大学学报（自然科学版）2008，Vol.20Issue(3)：266-271,6.
Domain-oriented data-driven data mining:a new understanding for data mining
Domain-oriented data-driven data mining:a new understanding for data mining
摘要
Abstract
Recent advances in computing, communications, digital storage technologies, and high-throughput dam-acquisition technologies, make it possible to gather and store incredible volumes of data. It creates unprecedented opportunities for large-scale knowledge discovery from database. Data mining is an emerging area of computational intelligence that offers new theories, techniques, and tools for processing large volumes of data, such as data analysis, decision making, etc.There are many researchers working on designing efficient data mining techniques, methods, and algorithms. Unfortunate-ly, most data mining researchers pay much attention to technique problems for developing data mining models and methods,while little to basic issues of data mining. In this paper, we will propose a new understanding for data mining, that is, do-main-oriented data-driven data mining (3DM) model. Some data-driven data mining algorithms developed in our Lab are al-so presented to show its validity.关键词
domain-oriented/ data-driven/ data miningKey words
domain-oriented/ data-driven/ data mining分类
信息技术与安全科学引用本文复制引用
WANG Guo-yin,WANG Yan..Domain-oriented data-driven data mining:a new understanding for data mining[J].重庆邮电大学学报（自然科学版）,2008,20(3):266-271,6.基金项目
This paper is partially supported by National Natural Science Foundation of P.R,. China under Grants(60573068,60773113),Program for New Century Excellent Talents in University (NCET), Natural Science Foundation of Chongqing under Grant(2005BA2003). （60573068,60773113）
