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Auflistung nach Autor:in "Scholl, Marc H."

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  • Konferenzbeitrag
    Hierarchy-driven Visual Exploration of Multidimensional Data Cubes
    (Datenbanksysteme in Business, Technologie und Web (BTW 2007) – 12. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 2007) Mansmann, Svetlana; Mansmann, Florian; Scholl, Marc H.; Keim, Daniel A.
    Analysts interact with OLAP data in a predominantly “drill-down” fashion, i.e. gradually descending from a coarsely grained overview towards the desired level of detail. Analysis tools enable visual exploration as a sequence of navigation steps in the data cubes and their dimensional hierarchies. However, most state-of-the-art solutions are limited either in their capacity to handle complex multidimensional data or in the ability of their visual metaphors to provide an overview+details context. This work proposes an explorative framework for OLAP data based on a simple but powerful approach to analyzing data cubes of virtually arbitrary complexity. The data is queried using an intuitive navigation in which each dimension is represented by its hierarchy schema. Any granularity level can be dragged into the visualization to serve as an disaggregation axis. The results of the iterative exploration are mapped to a specified visualization technique. We favor hierarchical layouts for their natural ability to show step-wise decomposition of aggregate values. The power of the tool to support various application scenarios is demonstrated by presenting use cases from different domains and the visualization techniques suitable for solving specific analysis tasks.
  • Konferenzbeitrag
    Melting Pot XML – Bringing File Systems and Databases One Step Closer
    (Datenbanksysteme in Business, Technologie und Web (BTW 2007) – 12. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 2007) Holupirek, Alexander; Grün, Christian; Scholl, Marc H.
    Ever-growing data volumes demand for storage systems beyond current file systems abilities, particularly, a powerful querying capability. With the rise of XML, the database community has been challenged by semi-structured data processing, enhancing their field of activity. Since file systems are structured hierarchically they can be mapped to XML and as such stored in and queried by an XML-aware database. We provide an evaluation of a state-of-the-art XML-aware database implementing a file system.