CAREER: Exploration of Dynamic Sequences in Scientific Databases

科学数据存储库越来越多地涉及由各种数据源产生的大量图像和经验测量流。该项目的目标是开发在线结构和算法，以动态维护和分析数据序列，用于科学发现和监测目的。实现的重点是物理和生物科学产生大量多维数据序列的特定应用。对于科学发现，开发了一个迭代查询框架，用于对观测序列进行建模。该框架最佳地利用访问结构来执行从简单的max聚合到复杂的科学查询的查询。交互式工具的实现使研究人员能够将特定领域的知识整合到搜索过程中。为实现实时监测，开发了可定时更新的一次性总结。这些结构被设计成能够自适应工作负载的变化，并且能够处理异构和不完整的信息。该项目涉及与重点领域的领域专家合作，并有望推进应用领域的最新知识。例如，在这个项目中实施的基因表达分析工具已经提高了合作研究人员研究流感嗜血杆菌（1892年由Richard Pfeiffer博士在流感大流行期间首次描述）的能力，以便了解它在各种临床疾病中的作用，从而可以开发有效的疫苗。该研究项目通过重要的教育和推广活动与教育相结合。开发的工具包、研究结果和项目方法将通过项目网站（http://www.cse.ohio-state.edu/~hakan/Career.html）在更广泛的背景下传播给更多的受众。

Scientific data repositories increasingly involve large amounts of images and streams of empirical measurements generated by a diverse set of data sources. The goal of this project is to develop online structures and algorithms to dynamically maintain and analyze data sequences for scientific discovery and monitoring purposes. The implementation focuses on specific applications from physical and biological sciences that generate vast amounts of multi-dimensional data sequences. For scientific discoveries, an iterative querying framework is developed for modeling of the sequences of observations. The framework optimally utilizes access structures to execute queries ranging from a simple max aggregate to complex scientific queries. Interactive tools are implemented where researchers are able to incorporate domain specific knowledge into the search process. For real-time monitoring, one-pass summaries that can be updated in constant-time are developed. The structures are designed to be self-adaptive with respect to the workload changes and to handle heterogeneous and incomplete information. The project involves collaborations with domain experts in focus areas and is expected to advance the state-of-the-art knowledge in the application domains. For example, the gene expression analysis tools implemented in this project have already enhanced the ability of the collaborative researchers in their studies of Haemophilus Influenzae (first described in 1892 by Dr. Richard Pfeiffer during an influenza pandemic) in order to understand it role in a wide range of clinical diseases, so that effective vaccines can be developed. This research project is integrated with education through significant educational and outreach activities. The developed toolkits, findings, and methods of the project will be communicated in a broader context and to an expanded audience through the project website (http://www.cse.ohio-state.edu/~hakan/Career.html).