Domain-oriented data-driven data mining:a new understanding for data mining

摘要：

Recent advances in computing, communications, digital storage technologies, and high-throughput data-acquisitiontechnologies, make it possible to gather and store incredible volumes of data It creates unprecedented opportunities forlarge-scale knowledge discovery from database. Data mining is an emerging area of computational intelligence that offersnew theories, techniques, and tools for processing large volumes of data, such”data analysis, decision making, etc.There are many researchers working on designing efficient darn mining techniques, methods, and algorithms. Unfortunately, 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, domain-oriented data-driven data mining (3DM) model. Some data-driven data mining algorithms developed in our Lab are also presented to show its validity.

关键词： domain-oriented data-driven data mining

作者: WANG Guo-yin WANG Yan

作者单位: Institute of Computer Science & Technology, Chongqing University of Posts and Telecommunications, Ch Institute of Computer Science & Technology, Chongqing University of Posts and Telecommunications, Ch

会议类型: 国内会议

会议名称: 2008国际知识技术论坛(IFKT2008)

会议地点: 重庆

会议语种:英文

页码: 266-271

在线出版日期: 2008-05-13（万方平台首次上网日期，不代表论文的发表时间）