CAREER: Exploration of Dynamic Sequences in Scientific Databases

科学数据存储库越来越多地涉及由不同数据源集生成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。该实现侧重于物理和生物科学的特定应用程序，这些应用程序生成大量多维数据序列。对于科学发现，迭代查询框架被开发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最大聚合到复杂的科学查询的查询。交互式工具的实现，研究人员能够将特定领域的知识到搜索过程中。对于实时监控，开发了可以恒定时间更新的一次性摘要。结构的设计是自适应的工作量的变化，并处理异构和不完整的信息。该项目涉及与重点领域领域专家的合作，预计将推进应用领域的最新知识。例如，在该项目中实施的基因表达分析工具已经增强了合作研究人员在流感嗜血杆菌（1892年由Richard Pfeiffer博士在流感大流行期间首次描述）研究中的能力，以了解它在广泛的临床疾病中的作用，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。将通过项目网站（http：//www.cse.ohio-state.edu/cohakan/Career.html），在更广泛的范围内向更多的受众宣传该项目开发的工具包、调查结果和方法。

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).