Practical prefetching via data compression
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Using predictive prefetching to improve World Wide Web latency
ACM SIGCOMM Computer Communication Review
Caching multidimensional queries using chunks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Dynamic Caching of Query Results for Decision Support Systems
SSDBM '99 Proceedings of the 11th International Conference on Scientific and Statistical Database Management
Management of Multidimensional Aggregates for Efficient Online Analytical Processing
IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
Recommending Multidimensional Queries
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
On predictive modeling for optimizing transaction execution in parallel OLTP systems
Proceedings of the VLDB Endowment
Mining and modeling database user access patterns
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
A distance-based algorithm for clustering database user sessions
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Finding and analyzing database user sessions
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
Surveying the landscape: an in-depth analysis of spatial database workloads
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Query Recommendations for OLAP Discovery-Driven Analysis
International Journal of Data Warehousing and Mining
BlinkDB: queries with bounded errors and bounded response times on very large data
Proceedings of the 8th ACM European Conference on Computer Systems
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This paper discusses the PROMISE (Predicting User Behavior in Multidimensional Information System Environments) approach, that deploys information about characteristic patterns in the user's multidimensional data access in order to improve caching algorithms of OLAP systems. The paper motivates this approach by presenting results of an analysis of the user behavior in a real-world OLAP environment. Further contributions of this paper are a model for characteristic OLAP query patterns based on Markov Models and a corresponding OLAP query prediction algorithm.