CAREER: Efficient Discovery of Previously Unknown Patterns and Relationships in Massive Time Series Databases

到目前为止，时间序列数据挖掘的研究绝大多数都集中在相似性搜索上，对聚类的研究较少。然而，从知识发现的角度来看，时间序列数据挖掘中有几个重要的问题尚未解决，这些问题更有趣、更重要、更具挑战性。该项目解决了这些问题。长期目标是创建高效的算法，以允许从海量时间序列数据集中提取模式、异常、规则和规则形式的知识。由于时间序列数据无处不在，这项工作可能会在心脏病学、工业、天文学、医学、生物信息学、金融、气象、娱乐和网络等领域带来好处。将测试算法的工业和科学领域的当地合作者已经确定。为了加强该项目的更广泛影响，将通过扩展UCR时间序列数据挖掘档案来传播结果，这将使数据挖掘研究人员和从业人员免费获得该项目创建的所有代码、数据集和出版物。(http://www.cs.ucr.edu/~eamonn/NSFcareer/NSF.html)网站提供了有关该项目的更多信息。该项目的一个特点是，本科生和研究生努力寻找、实施相关工作，并将其与该项目中开发的方法进行比较。时间序列数据分析对商业非常重要，因此该项目将产生除科学影响之外的广泛影响。

To date, the vast majority of research on time series data mining has focused on similarity search and to a lesser extent on clustering. However, from a knowledge discovery viewpoint, there are several important unsolved problems in time series data mining that are more interesting, important, and challenging. This project addresses these problems. The long-term goal is the creation of efficient algorithms to allow the extraction of knowledge in the form of patterns, anomalies, regularities and rules, from massive time series datasets. Because of the ubiquity of times series data, the work may have benefits in areas as diverse as cardiology, industry, astronomy, medicine, bioinformatics, finance, meteorology, entertainment and networking. Local collaborators in industry and science, who will test the algorithms, have been identified. To enhance broader impacts of this project, results will be disseminated by an expansion of the UCR Time Series Data Mining Archive, which will make all code, datasets and publications created by the project freely available to data mining researchers and practitioners. The Web site (http://www.cs.ucr.edu/~eamonn/NSFcareer/NSF.html) provides more information about this project.A special feature of the project is an effort involving undergraduate and graduate students to find, implement and compare relevant work to the approach developed in this project. Time series data analysis is very important for business and thus the project will have broad impact beyond its scientific impact.