Research Conference: Computing Science and Statistics Interface Symposium to be held May 14-17, 1997 in Houston, Texas

研究会议：计算科学与统计接口研讨会将于 1997 年 5 月 14-17 日在德克萨斯州休斯敦举行

• 批准号: 9708176
• 负责人: David Scott
• 金额: --
• 依托单位: Interface Foundation of North America Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-05-01 至 1998-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9708176&HistoricalAwards=false
• 关键词: Research; Conference; Computing; Science; Statistics

Scott 9708176 This proposal requests funding to support young researchers and speakers to attend the 29th symposium on the Interface of Computing Science and Statistics in Houston, May 14-17, 1997, along with related conference expenses. The theme of this year's interface is "Mining and Modeling Massive Data Sets In Science, Engineering, and Business," which is related to other special NSF initiatives. The Symposium is designed to bring together top researchers and workers in several related disciplines to focus on a breaking theme, and to bring younger researchers, graduate students, and interested scientifically minded individuals from a wide cross-section of fields and industries to interact and exchange information and ideas. This year's program has drawn a field of invited speakers from an international group, as well as some of the best minds in the American academic, computer, and business worlds. Furthermore, a large and diverse group of young individuals will attend. The conference also has a sub-theme of the environment and quantitative environmental science. The conference is sponsored by the Interface Foundation of North America, a non-profit educational corporation. The Statistics Department at Rice University is hosting the meeting with David W. Scott as organizer and program chair. Co-hosting institutions include M.D. Anderson Cancer Center and U. Texas School of Public Health. The Symposium has a number of cooperating societies. Data mining holds the promise of dramatically improving our utilization of massive data records accumulating in all areas of government, industry, business, and research. Some of the best statisticians, computer scientists, federal researchers, businessmen, and others are contributing to providing new algorithms and ideas for finding structure in massive data sets. Over 27 invited and 12 contributed paper sessions will be offered. Keynote speaker Jerry Friedman of Stanford will discuss the role of statistics in data mining research. This work poses serious hardware and software problems for computer vendors, and speakers from IBM, SGI, Oracle, AMS, and others will discuss hardware and software issues related to massive data sets management and analysis. Other sessions will describe case studies and war stories. A number of marketing researchers have won permission to describe usually proprietary work that should have educational scientific value. Special luncheon presentations will offer a more informal atmosphere and interaction with leading researchers in computing, genetic and molecular modeling, and network understanding. Visualization is a common thread, with sessions on the uses of virtual reality, exploration, and spatial statistics for massive data sets. The CEO's and chief scientists of some of the leading data mining and statistical software houses will be speaking at this year's meeting. Large scale optimization and wavelet techniques will also be covered among the many sessions. Each speaker will provide a manuscript for a proceedings of the conference, which is to be published in the early Fall. Thus the results and information provided during the session will be available to a very wide audience at low cost.

斯科特9708176本提案要求资助年轻的研究人员和发言者参加第29届研讨会上的接口计算科学和统计在休斯敦，沿着，1997年5月14日至17日，以及相关的会议费用。今年界面的主题是“在科学、工程和商业中挖掘和建模海量数据集”，这与NSF的其他特别倡议有关。研讨会旨在汇集几个相关学科的顶级研究人员和工作人员，专注于一个突破性的主题，并使年轻的研究人员，研究生和感兴趣的科学头脑的个人从广泛的领域和行业的横截面互动和交流信息和想法。今年的项目吸引了来自一个国际组织的特邀演讲者，以及美国学术界、计算机界和商业界的一些最优秀的人才。此外，将有一大批不同的年轻人参加。会议还有一个环境和定量环境科学的分主题。该会议由北美接口基金会赞助，该基金会是一家非营利性教育公司。莱斯大学统计系主持了这次会议，大卫W。斯科特作为组织者和程序主席。联合主办机构包括M.D.安德森癌症中心和U.德州公共卫生学院。该专题讨论会有一些合作协会。数据挖掘有望极大地提高我们对政府、工业、商业和研究等各个领域积累的大量数据记录的利用率。一些最好的统计学家、计算机科学家、联邦研究人员、商人和其他人正在为提供新的算法和想法做出贡献，以便在大量数据集中找到结构。将提供超过27个邀请和12个贡献论文会议。斯坦福大学的主题演讲人Jerry Friedman将讨论统计学在数据挖掘研究中的作用。这项工作给计算机供应商带来了严重的硬件和软件问题，来自IBM、SGI、Oracle、AMS和其他公司的演讲者将讨论与海量数据集管理和分析相关的硬件和软件问题。其他会议将描述案例研究和战争故事。一些市场研究人员已经获得许可，可以描述通常具有教育科学价值的专有作品。特别的午餐演讲将提供一个更非正式的气氛和互动与领先的研究人员在计算，遗传和分子建模，网络理解。可视化是一个共同的线程，与虚拟现实的使用，探索和空间统计的海量数据集的会议。一些领先的数据挖掘和统计软件公司的首席执行官和首席科学家将在今年的会议上发言。大规模优化和小波技术也将包括在许多会议。每位演讲者将提供一份会议记录的手稿，该文件将在初秋出版。因此，会议期间提供的结果和信息将以低成本提供给广大受众。