Interactive Poster: Exploring OLAP Aggregates with Hierarchical Visualization Techniques

Analysts interact with data cubes in a predominantly drill-down fashion, i.e. from coarse grained aggregates towards the desired level of detail. Hierarchical visualization techniques offer an adequate structure for mapping the logic of the exploration due to preserving the overview of the entire interaction and providing the details of every drill-down step. We present a novel user interface for exploring complex multidimensional data in an OLAP (online analytical processing) environment. Users navigate in dimensional hierarchies via a schema-based data browser. Query results are presented in form of enhanced decomposition trees. We propose multiple tree layouts and embedded visualization techniques optimized to satisfy various criteria.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

hierarchical visualization, OLAP, explorative interface

Konferenz

InfoVis, 2006

Zitieren

ISO 690

MANSMANN, Svetlana, Marc H. SCHOLL, Daniel A. KEIM, Florian MANSMANN, 2006. Interactive Poster: Exploring OLAP Aggregates with Hierarchical Visualization Techniques. InfoVis, 2006. In: IEEE Symposium on Information Visualization (InfoVis 2006), 2006. 2006

BibTex

@inproceedings{Mansmann2006Inter-5656,
  year={2006},
  title={Interactive Poster: Exploring OLAP Aggregates with Hierarchical Visualization Techniques},
  booktitle={IEEE Symposium on Information Visualization (InfoVis 2006), 2006},
  author={Mansmann, Svetlana and Scholl, Marc H. and Keim, Daniel A. and Mansmann, Florian}
}

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Publikation: Interactive Poster: Exploring OLAP Aggregates with Hierarchical Visualization Techniques

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Interactive Poster: Exploring OLAP Aggregates with Hierarchical Visualization Techniques