Mustafa Sanver

Interactive Visual Exploration of Large Relational Data

Using multiresolution data aggregations built on a high-dimensional index

• Broschiertes Buch

Produktbeschreibung

Visualization is a powerful tool to capture profound
insights. However, interactive visual exploration of
massive data in many activities from business
decision making to scientific analysis poses
fundamental technical challenges to both data
visualization and database management systems.
In this work, we propose a density-based methodology
to address the challenge. We present multiresolution
data aggregation as an intermediate representation of
data between visualization tools and databases. Data
aggregated at multiple resolutions are stored in
internal nodes of a partition-based high dimensional
tree index while the individual records are stored
in leaf nodes. Such a piggyback ride of aggregated
data efficiently supports resolution-based data
access patterns of large relational data.
Multiresolution data aggregation provides density-
based data input to visualization techniques. A
software tool (mVis) is developed to
demonstrate the feasibility and effectiveness of the
new input. It is a dynamic, flexible, and extendible
framework which currently constitutes several
visualization techniques that support the new data
representation.

Produktdetails

• Verlag: VDM Verlag Dr. Müller
• Seitenzahl: 112
• Englisch
• Abmessung: 220mm
• ISBN-13: 9783639132311
• ISBN-10: 3639132319
• Artikelnr.: 26149431

Autorenporträt

The author received his PhD and MS in Computer Science at
Western Michigan University and his BS degree in Computer
Engineering at Marmara University, Istanbul. He is currently
working on interactive visualization of large data sets. His
research interests include data visualization, HCI,
high dimensional indexing, and grid computing.