{"title":"Ubiquitous personalized information processing with wildcards","authors":"Xindong Wu","doi":"10.1109/GRC.2009.5255135","DOIUrl":null,"url":null,"abstract":"With the rapid development of computer, communication and networking technologies, Web information resources are becoming increasingly rich, and on-line applications are required to be more and more flexible. Therefore, a new generation of information models and mechanisms for these information processing requirements has become a major challenge. This talk will discuss four scientific problems in ubiquitous personalized information processing with wildcards*, including demand driven aggregation of information resources, mining and analysis for aggregated information, user interest modeling, and system security. With these four components, a pervasive and personalized information processing mechanism can be constructed for dynamically organizing and optimizing multiple information resources, implementing a transparent and scalable information processing architecture, and flexibly building information and analysis services to meet various user demands.","PeriodicalId":388774,"journal":{"name":"2009 IEEE International Conference on Granular Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Granular Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GRC.2009.5255135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of computer, communication and networking technologies, Web information resources are becoming increasingly rich, and on-line applications are required to be more and more flexible. Therefore, a new generation of information models and mechanisms for these information processing requirements has become a major challenge. This talk will discuss four scientific problems in ubiquitous personalized information processing with wildcards*, including demand driven aggregation of information resources, mining and analysis for aggregated information, user interest modeling, and system security. With these four components, a pervasive and personalized information processing mechanism can be constructed for dynamically organizing and optimizing multiple information resources, implementing a transparent and scalable information processing architecture, and flexibly building information and analysis services to meet various user demands.