Interactive Visual Exploration of Large Relational Data : Using multiresolution data aggregations built on a high-dimensional index

ISBN-13: 9783639132311 / Angielski / Miękka / 2009 / 112 str.

Mustafa Sanver

Opis

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 ofdata 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 todemonstrate 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.

O autorze

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.