CISE Research Infrastructure: MultiStore: A Research Infrastructure for Management, Analysis and Visualization of Large-Scale Multidimensional Data Sets

EIA-0101244 Aidong ZhangSUNY at BuffaloMultiStore：A Research Infrastructure for Management，Analysis and Visualization of Large-Scale Multidimensional Data Sets该项目建立了一个研究基础设施（MultiStore），用于支持计算机科学特定目标领域的综合研究，包括多媒体，可视化，地理信息系统（GIS）和生物信息学。 研究目标是发展计算理论和算法，用于存储，管理，分析，查询和可视化从相关领域产生的多维数据集。 研究内容包括：（1）数据存储与管理。 我们开发的方法来管理大规模的多维数据集。具体的研究问题包括：多维数据存储，索引和聚类。(2)数据可视化。我们开发有效的图形和可视化技术，可以帮助用户在信息处理任务。具体的研究课题包括图形可视化和检测集群的多维数据集通过可视化。 可视化工具将用于生物医学图像的理解和分析。(3)数据分析和查询。 我们专注于地理图像的理解，分析和查询。 具体的研究问题包括地理元数据/知识提取，地理元数据/知识表示和管理，地理元数据/知识查询。(4)数据挖掘和生物信息学。我们开发数据挖掘技术，用于蛋白质结构的确定和基因表达模式的检测。通过这些研究活动，将提供基本的理解和新的技术，以支持各种大规模多维数据集的管理。

EIA-0101244Aidong ZhangSUNY at BuffaloMultiStore: A Research Infrastructure for Management, Analysis and Visualization of Large-Scale Multi-dimensional Data SetsThis project establishes a research infrastructure (MultiStore) for supporting integrated research in specific targeted areas of Computer Science, including Multimedia, visualization, Geographical Information Systems (GIS) and Bioinformatics. The research objective is to develop computational theories and algorithms for storing, managing, analyzing, querying and visualizing multi-dimensional data sets that are generated from the related fields. The research components include: (1) Data storage and management. We develop approaches to manage large-scale multi-dimensional data sets. Particular research issues include: multi-dimensional data storage, indexing, and clustering. (2) Data visualization. We develop effective graphics and visualization techniques that can help the user in information processing tasks. Particular research topics addressed include graph visualization and detecting clusters in a multidimensional data set through visualization. The visualization tools will be used in biomedical image understanding and analysis. (3) Data analysis and querying. We focus on geographical image understanding, analysis and querying. The particular research issues include geographical metadata/knowledge extraction, geographical metadata/knowledge representation and management, and geographical metadata/knowledge querying. (4) Data mining and bioinformatics. We develop data mining techniques for determination of protein structures and detection of gene expression patterns. Through these research activities, the fundamental understanding and novel techniques will be provided to support the management of various large-scale multi-dimensional data sets.