CISE Research Instrumentation: Distributed Data Mining in Large Databases

9421531 Salzberg该奖项是为了购买用于三个不同研究项目的设备。第一个项目专注于计算生物学，特别是使用统计分析和机器学习算法区分原始DNA序列数据中的外显子和内含子。该项目还将研究搜索蛋白质序列数据库的算法，以找到称为基序的基本构件。第二个项目是对哈勃空间望远镜和地面望远镜的非常大的天文图像数据库进行分析的工作的延续和延伸。这些数据库的自动分类器的开发对天文巡天的成功至关重要，在天文巡天中，需要收集数亿天体的数据并实时分类。在第三个项目中，研究小组将开发基于语料库的语言学习算法的分布式版本，这将使他们能够进行更多的实验，并在这一研究领域取得更快的进展。正在开发的算法是计算密集型的，它自动从大型文本语料库中获取语言信息，而不是让人们根据他们的语言直觉手动输入这些信息。

9421531 Salzberg This award is to purchase equipment to be used for three distinct research projects. The first project focuses on computational biology, especially on distinguishing exons and introns in raw DNA sequence data using statistical analysis and machine learning algorithms. This project will also study algorithms for searching protein sequence databases to find fundamental building blocks called motifs. The second project is a continuation and extension of previous work on analysis of very large databases of astronomical images from the Hubble Space Telescope and ground-based telescopes. The development of automated classifiers to these databases is crucial for the success of astronomical sky surveys, in which data on hundreds of millions of celestial objects needs to be collected and classified in real time. In the third project, the research group will develop distributed versions of their corpus-based language learning algorithms, which will allow them to run many more experiments and to make much more rapid progress in this research area. The algorithms under development, which are computationally intensive, automatically acquire linguistic information from large text corpora, instead of having people manually input this information based upon their linguistic intuitions.