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

斯科特9708176本提案要求提供资金，以支持年轻的研究人员和演讲者参加1997年5月14-17日在休斯顿举行的第29届计算科学与统计学接口研讨会，以及相关的会议费用。今年接口的主题是“科学、工程和商业中的海量数据集的挖掘和建模”，这与NSF的其他特别倡议有关。研讨会旨在将几个相关学科的顶尖研究人员和工作人员聚集在一起，专注于一个突破性的主题，并将来自各个领域和行业的年轻研究人员、研究生和有科学头脑的感兴趣的个人聚集在一起，进行互动和交流信息和想法。今年的节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、计算机和商界的一些最优秀的人才。此外，还将有一大批不同的年轻人参加。会议还有一个关于环境和定量环境科学的分主题。这次会议是由北美接口基金会主办的，这是一家非营利性教育公司。莱斯大学统计系主办了这次会议，大卫·W·斯科特担任组织者和项目主席。联合主办机构包括M.D.安德森癌症中心和德克萨斯大学公共卫生学院。研讨会有多个合作协会。数据挖掘有望极大地提高我们对政府、工业、商业和研究各个领域积累的海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寻找海量数据集中的结构提供新的算法和想法。将提供超过27个受邀和12个投稿的论文会议。斯坦福大学的主讲人曾傑瑞·弗里德曼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、甲骨文、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。其他课程将介绍案例研究和战争故事。一些市场研究人员已经获得许可，可以描述通常是专有的、应该具有教育科学价值的工作。特别午餐演讲将提供一个更非正式的气氛，并与计算、遗传和分子建模以及网络理解方面的领先研究人员进行互动。可视化是一个共同的主题，有关于使用虚拟现实、探索和海量数据集的空间统计的会议。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。许多会议还将讨论大规模优化和小波技术。每位发言者将提供一份会议记录的手稿，该文稿将于初秋出版。因此，会议期间提供的成果和信息将以较低的成本向广大受众提供。

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.