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数据情报

Data Intelligence
课程网址: http://videolectures.net/iswc08_viegas_di/  
主讲教师: Evelyne Viegas
开课单位: 微软公司
开课时间: 2008-11-24
课程语种: 英语
中文简介:
ISWC的第四次行业会谈。“数据智能”。今天,很多研究被禁止,因为数据不能提供给研究团体(这已经是我的一个难题,非常高兴听到MS)。当然,最大的问题是数据隐私。goldcorp挑战。黄金矿业公司。在网上向公众提供他们所有的调查数据,让挑战参与者注册和寻找黄金,提供奖品。非常成功地确定了良好的采矿目标。在我们的领域,由于隐私问题,无法消除信息,创新受到抑制。许多有新闻价值的隐私侵犯(破解匿名搜索日志、匿名健康记录、匿名视频评级)阻碍了数据发布。她提出了一个框架来指定如何使用数据,这样科学家就可以在他们得到的数据上签署许可证。我仍然倾向于让用户无条件地发布自己的部分信息,而不是专注于让用户无条件地发布自己的部分信息。我认为,对于大多数用户来说,决定哪些子集是无条件保存要比决定限制条件(在任意不可想象的情况下)要容易得多,在这种限制条件下,所有数据都是安全。
课程简介: Fourth of a set of industry talks at ISWC. “Data Intelligence”. Today, lots of research is inhibited because of data that cannot be made available to the research community (this has been one of my gripes for a while, so great to be hearing from MS). Big issue of course is data privacy. Goldcorp challenge. Goldmining company. Provided all their survey data to the public online, let challenge participants register and seek gold, offer prizes. Very successful in identifying good mining targets. In our field, innovation inhibited by inability to diseminate info due to privacy concerns. Many newsworthy privacy violations (cracking of anonymized search logs, anonymized health records, anonymized video ratings) discourage data release. She proposes a framework for specifying how data can be used, so that scientists can sign licenses on the data they are getting. I’m still in favor of instead focusing on ways to let users release some subset of information about themselves unconditionally—I think that for most users, deciding what subset is unconditionally save is a much easier job than deciding the restricted conditions (under arbitrary unimaginable circumstances) under which all their data is safe.
关 键 词: 数据智能; 隐私信息; 抑制作用
课程来源: 视频讲座网
最后编审: 2020-05-15:chenxin
阅读次数: 57