11月16日下午 Trust Computing in Online Social Networks & Solving Data Quality Problems using Web Big Data

作者: 分类: 学术报告 时间: 2015-11-17 评论: 暂无评论

时间:11月16日下午3:30pm
地点:G510
Title: Trust Computing in Online Social Networks & Solving Data Quality Problems using Web Big Data

Title: Trust Computing in Online Social Networks

Abstract: Online Social Networks (OSNs) have already gained popularity and attracted lots of participants. In recent years, social networking sites have been used as a means for a rich variety of activities, such as movie recommendations and product recommendations. In these activities, trust is one of the most important factors for participants'
decision-making. Therefore, it is necessary and significant to evaluate the trust between two participants who have no direct interaction. My work aims to provide effective and efficient trust evaluation methods to compute more reasonable trust evaluation results.

Bio: 刘冠峰,博士,副教授,硕士生导师。2013年毕业于澳大利亚 Macquarie 大
学,获得计算机博士学位。 博士论文获得当年澳大利亚最佳博士论文提名。2013
年1月至2013年8月就职于Macquarie 大学 (Research Fellow) 和 悉尼科技大学
(Visiting Research Fellow),并于2013年9月入职苏州大学。目前主要从事可信
计算、社交网络信息挖掘、图数据库等领域的研究工作。曾参与多项澳洲科研基金
项目研 究。在ICDE、AAAI、TSC、FGCS、WWWJ、ICWS,等重要国际期刊与知名国际
会议上发表论文20余篇。


Title: Solving Data Quality Problems using Web Big Data

Abstract: In the big data era, the quality of the data everywhere has decreased sharply in six dimensions: erroneous, inconsistency, missing, obsolete, unavailable and probabilistic. Many research problems have arisen from processing with low-quality data sources, among which Data Linkage and Data Imputation have attracted the most attention. In this talk, we will introduce the idea of our novel solutions to the two data quality problems based on Web Big Data. Based on the premise that the knowledge and information residing in external sources over the World Wide Web can provide external information and knowledge for better addressing the two data quality problems, we propose to extract the required information and knowledge from the World Wide Web for data linkage and imputation.

Bio: 李直旭,博士,副教授,硕士生导师。2002-2009年就读于中国人民大学信息
学院攻读计算机学士和硕士学位。2013年毕业于澳大利亚昆士兰大学 (The
University of Queensland)获计算机科学博士学位。2013-2014年就职于沙特阿
卜杜拉国王科技大学(KAUST)做博士后研究员,并于2014年入职苏 州大学计算机
科学与技术学院。目前主要从事数据质量,大数据应用,数据挖掘与信息抽取等领
域的研究工作。曾参与国内外多项科研基金项目的研发 工作。在 IEEE TKDE, EDBT, CIKM, WWWJ等顶级国际期刊与知名国际会议上发表论文30余篇。

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