报 告 人：王国胤教授，博导，重庆邮电大学计算机科学与技术学院院长

报告时间：3月5日(星期三)上午10：00

报告地点：上海大学延长校区行健楼707室

报告简介：Recent advances in computing, communications, digital storage technologies, and high-throughput data-acquisition technologies, make it possible to gather and store incredible volumes of data. It creates unprecedented opportunities for large-scale knowledge discovery from huge database. Data mining (DM) technology has emerged as a means of performing this discovery. There are countless researchers working on designing efficient data mining techniques, methods, and algorithms. Many data mining methods and algorithms have been developed and applied in a lot of application fields. 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 talk, some basic issues of data mining are addressed. What is data mining? What is the product of a data mining process? What are we doing in a data mining process? What is the rule we should obey in a data mining process? Through analyzing existing data mining methods, and domain-driven (or user-driven) data mining models, we find that we should take a data mining process as a process of knowledge transformation. Based on this understanding of data mining, a conceptual data mining model of domain-oriented data-driven data mining (3DM) is proposed. The relationship between traditional domain-driven (or user-driven) data mining models and our proposed 3DM model is also analyzed. Some domain-oriented data-driven data mining algorithms for mining such knowledge as default rule, decision tree, and concept lattice from database are proposed. The experiment results for these algorithms are also shown to illustrate the efficiency and performance of the knowledge acquired by our 3DM data mining algorithms.

 

报告人简介：  王国胤博士，教授，博士生导师，全国优秀教师，全国高等学校优秀骨干教师，重庆青年五四奖章获得者，重庆市首批学术技术带头人，入选教育部新世纪优秀人才支持计划，是国际粗糙集学会(International Rough Set Society, IRSS)常务理事兼顾问委员会(Advisory Board)主席，国际科学技术开发协会(International Association of Science and Technology for Development, IASTED)信息学技术委员会委员，IEEE高级会员(Senior Member, IEEE)，中国计算机学会高级会员，中国人工智能学会常务理事兼粗糙集与软计算专业委员会主任委员，中国计算机学会人工智能与模式识别专业委员会常务理事，中国神经网络委员会委员，重庆计算机学会副理事长，重庆计算机用户协会副理事长，《Transactions on Rough Sets》、《International Journal of Cognitive Informatics & Natural Intelligence》、《计算机学报》等6种学术期刊的编委。王国胤教授组织召开了5届中国Rough集与软计算学术研讨会系列会议，和RSFDGrC2003、WSS2004、ISNN2005、RSFDGrC2005、ICCI2006、RSKT2006、AMT2006、MUE2007、JRS2007、HPCNCS2007等国际学术会议，并担任会议主席或共同主席；是RSFDGrC、WSS、ISNN、RSCTC、IKS、CSS、ICAI、IKE、ICMLA、SCI、MSRAS、ICCI、GrC等10多个系列性国际学术会议的程序委员会委员。王国胤教授主持了国家自然科学基金、国家863计划等20多项国家级/省部级科研项目，出版学术专著1部，在国内外主要学术刊物和学术会议上发表100多篇学术论文，其中被国际权威检索刊物SCI、EI等收录130多篇(次), 论著被他人引用1300多次。王国胤教授是重庆邮电大学计算机应用技术学科（省部级重点学科）学科负责人、计算机科学与技术学院院长、计算机科学与技术研究所所长、信息安全技术实验室主任，上海交通大学、西安交通大学、西南交通大学、电子科技大学和西安电子科技大学兼职教授。王国胤教授领导的重庆邮电大学计算机科学与技术研究所2002年荣获首届"重庆市十大杰出青年群体"荣誉称号。