论文标题
一种计算理论方法，用于从高能量天体物理实验数据库中挖掘有关瞬态事件的数据
A computational theoretical approach for mining data on transient events from databases of high energy astrophysics experiments
论文作者
论文摘要
瞬态事件（例如GRB）的数据通常包含在空间实验的非结构化数据的大数据库中，并与潜在的背景或简单的不希望的信息合并。我们提出了一个计算形式模型，以应用现代计算机科学的技术，例如数据挖掘（DM）和数据库中的知识发现（KDD） - 从高能量天体物理学实验中得出的通用大型数据库。此方法旨在搜索，识别和提取预期信息，并可能发现意外信息。
Data on transient events, like GRBs, are often contained in large databases of unstructured data from space experiments, merged with potentially large amount of background or simply undesired information. We present a computational formal model to apply techniques of modern computer science -such as Data Mining (DM) and Knowledge Discovering in Databases (KDD)- to a generic, large database derived from a high energy astrophysics experiment. This method is aimed to search, identify and extract expected information, and maybe to discover unexpected information .
