题目：分布式数据挖掘中的隐私管理：一种基于语义的工作流的方法
报告人：张国威 副教授
时间：2007年7月9日星期一 上午10:00
地点：曹光彪主楼413
内容摘要：
虽然数据分析工具已经在面向大规模数据集的模式识别中广泛使用，计算的普遍性仍然对集中式的数据分析方式在很多方面提出了巨大的挑战。其中的问题之一，数据隐私的保护对电子科学和电子商务的应用尤为重要。我们将首先对近年来关于隐私保留和隐私控制的数据挖掘研究做一个简单地介绍，接着，我们将给出一个基于语义的方法，将数据挖掘过程建模为工作流；利用数据隐私和数据分析本体来表示相关的工作流，使用规则来表示隐私政策；开展自动的推理来验证工作流是否符合政策。我们同时还结合一个分布式数据聚类的应用场景讨论了提出的方法以及相关的研究问题。该研究工作主要是在南加州大学的信息科学研究所与Yolanda Gil合作完成的。
报告人简介：
张国威博士现为香港浸会大学计算机系的副教授，1999年于香港科技大学获得博士学位，曾担任人工智能、Web智能、数据挖掘、Web服务和电子商务技术等领域的一系列国际会议的主席和执行委员，以及相关国际杂质的编辑，自2002起长期担任IEEE Intelligent Informatics Bulletin 的编委。目前的研究兴趣主要包括人工智能和机器学习，及其在协同过滤、数据挖掘和Web/网格服务管理中的应用
Managing Privacy in Distributed Data Mining - A Semantic Workflow Approach"
Dr. William K. Cheung
Hong Kong Baptist University
Abstract:
While data analysis tools has widely been used in discovering patterns from large data sets, the ubiquity of computing has challenged the centralized data analysis approach in many aspects. Data privacy protection, being one of the challenges, has been found to be especially important for applications like e-Science and e-Business. In this talk, we first give a brief review on recent work related to privacy preserving data mining and privacy governing data mining. Then, we describe a semantic approach which (1) models data mining processes as workflows, (2) uses data privacy and data analysis ontologies to represent related workflows and use rules to represent privacy policies, and (3) performs automatic reasoning to validate workflows for policy compliance. We also discuss a case study on applying the approach to a distributed data clustering scenario as well as related research challenges. This work is being done during a sabbatical at Information Sciences Institute, University of Southern California in 2007 and is in collaboration with Yolanda Gil.
Biography:
William K. Cheung is an associate professor in the Department of Computer Science at Hong Kong Baptist University. He received his Ph.D. in computer science in 1999 from the Hong Kong University of Science and Technology, and his M.Phil and B.Sc. degrees both in electronic engineering from The Chinese University of Hong Kong. He has served as co-chair and program committee member of a number of international conferences as well as journals' guest editors on areas including artificial intelligence, Web intelligence, data mining, Web services, and e-commerce technologies. Also, he has been on the editorial board of IEEE Intelligent Informatics Bulletin since 2002. His research interests include artificial intelligence and machine learning as well as their applications to collaborative filtering, data mining, planning under uncertainty, and Web/grid service management.
此次学术报告列入计算机与软件学院研究生“读书报告”计划，欢迎广大师生参加！也欢迎即将读研的07级研究生参加，07级的“读书报告单”可到曹楼－217，研究生科领取。
报告人：张国威 副教授
时间：2007年7月9日星期一 上午10:00
地点：曹光彪主楼413
内容摘要：
虽然数据分析工具已经在面向大规模数据集的模式识别中广泛使用，计算的普遍性仍然对集中式的数据分析方式在很多方面提出了巨大的挑战。其中的问题之一，数据隐私的保护对电子科学和电子商务的应用尤为重要。我们将首先对近年来关于隐私保留和隐私控制的数据挖掘研究做一个简单地介绍，接着，我们将给出一个基于语义的方法，将数据挖掘过程建模为工作流；利用数据隐私和数据分析本体来表示相关的工作流，使用规则来表示隐私政策；开展自动的推理来验证工作流是否符合政策。我们同时还结合一个分布式数据聚类的应用场景讨论了提出的方法以及相关的研究问题。该研究工作主要是在南加州大学的信息科学研究所与Yolanda Gil合作完成的。
报告人简介：
张国威博士现为香港浸会大学计算机系的副教授，1999年于香港科技大学获得博士学位，曾担任人工智能、Web智能、数据挖掘、Web服务和电子商务技术等领域的一系列国际会议的主席和执行委员，以及相关国际杂质的编辑，自2002起长期担任IEEE Intelligent Informatics Bulletin 的编委。目前的研究兴趣主要包括人工智能和机器学习，及其在协同过滤、数据挖掘和Web/网格服务管理中的应用
Managing Privacy in Distributed Data Mining - A Semantic Workflow Approach"
Dr. William K. Cheung
Hong Kong Baptist University
Abstract:
While data analysis tools has widely been used in discovering patterns from large data sets, the ubiquity of computing has challenged the centralized data analysis approach in many aspects. Data privacy protection, being one of the challenges, has been found to be especially important for applications like e-Science and e-Business. In this talk, we first give a brief review on recent work related to privacy preserving data mining and privacy governing data mining. Then, we describe a semantic approach which (1) models data mining processes as workflows, (2) uses data privacy and data analysis ontologies to represent related workflows and use rules to represent privacy policies, and (3) performs automatic reasoning to validate workflows for policy compliance. We also discuss a case study on applying the approach to a distributed data clustering scenario as well as related research challenges. This work is being done during a sabbatical at Information Sciences Institute, University of Southern California in 2007 and is in collaboration with Yolanda Gil.
Biography:
William K. Cheung is an associate professor in the Department of Computer Science at Hong Kong Baptist University. He received his Ph.D. in computer science in 1999 from the Hong Kong University of Science and Technology, and his M.Phil and B.Sc. degrees both in electronic engineering from The Chinese University of Hong Kong. He has served as co-chair and program committee member of a number of international conferences as well as journals' guest editors on areas including artificial intelligence, Web intelligence, data mining, Web services, and e-commerce technologies. Also, he has been on the editorial board of IEEE Intelligent Informatics Bulletin since 2002. His research interests include artificial intelligence and machine learning as well as their applications to collaborative filtering, data mining, planning under uncertainty, and Web/grid service management.
此次学术报告列入计算机与软件学院研究生“读书报告”计划，欢迎广大师生参加！也欢迎即将读研的07级研究生参加，07级的“读书报告单”可到曹楼－217，研究生科领取。
