Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Sequentiality and prefetching in database systems
ACM Transactions on Database Systems (TODS)
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
FreeSpan: frequent pattern-projected sequential pattern mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Hierarchical geometric models for visible surface algorithms
Communications of the ACM
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth
ICDE '01 Proceedings of the 17th International Conference on Data Engineering
GODIVA: Lightweight Data Management for Scientific Visualization Applications
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Visibility-Based Prefetching for Interactive Out-Of-Core Rendering
PVG '03 Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics
Semantically-Smart Disk Systems
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
Using prefetching to improve walkthrough latency: Research Articles
Computer Animation and Virtual Worlds - CASA 2006
Informed data distribution selection in a self-predicting storage system
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
Hierarchical reduction and partition of hypergraph
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Knowledge-based out-of-core algorithms for data management in visualization
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
SCOUT: prefetching for latent structure following queries
Proceedings of the VLDB Endowment
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In many visualization applications (VA), the size of the database is not only extremely large, it is also growing rapidly. Even for relatively simple searches, the time required to move the data off storage media is expensive. However, object correlations are common semantic patterns in VA. They can be exploited for improve the effectiveness of storage caching, prefetching, data layout, and disk scheduling. However, little approaches for discovering object correlations in VA to improve the performance of storage systems. In this paper, we develop a class of view-based projection-generation method for mining various frequent sequential traversal patterns in the VA. The frequent sequential traversal patterns are used to predict the user navigation behavior. Furthermore, the hypergraph-based clustering scheme can help reduce disk access time with proper placement patterns into disk blocks. Finally, we have done extensive experiments to demonstrate how these proposed techniques not only significantly cut down disk access time, but also enhance the accuracy of data prefetching.