Surround-screen projection-based virtual reality: the design and implementation of the CAVE
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
VisDB: a system for visualizing large databases
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
VIS '97 Proceedings of the 8th conference on Visualization '97
Data mining: concepts and techniques
Data mining: concepts and techniques
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
On the Computation of Multidimensional Aggregates
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Immersed Visual Data Mining: Walking the Walk
BNCOD 18 Proceedings of the 18th British National Conference on Databases: Advances in Databases
Immersive Virtual Reality for Scientific Visualization: A Progress Report
VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
A flexible report architecture based on association rules mining
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
On studying a 3D user interface for OLAP
Data Mining and Knowledge Discovery
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We present a framework for visualizing remote distributed data sources using a multi-user immersive virtual reality environment. DIVE-ON is a system prototype that consolidates distributed data sources into a multidimensional data model, transports user-specified views to a 3D immersive display, and presents various data attributes and mining results as virtual objects in true 3D interactive virtual reality. In this environment, the user navigates through data by walking or flying, and interacts with its objects simply by "reaching out" for them. To support large sets of data while maintaining an interactive frame rate we propose the VOLAP-tree. This data structure is well suited for indexing both levels of abstraction and decomposition of the virtual world. The DIVE-ON architecture emphasizes the development of two main independent units: the visualization application, and the centralized virtual data warehouse. Unlike traditional desktop decision support systems, virtual reality enables DIVE-ON to exploit natural human sensorimotor and spatial pattern recognition skills to gain insight into the significance of data.