An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Online association rule mining
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Mining time-changing data streams
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Processing complex aggregate queries over data streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Building the Operational Data Store
Building the Operational Data Store
Continuous queries over data streams
ACM SIGMOD Record
Realizing active data warehouses with off-the-shelf database technology
Software—Practice & Experience
Striving towards Near Real-Time Data Integration for Data Warehouses
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Approximate query processing using wavelets
The VLDB Journal — The International Journal on Very Large Data Bases
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
A Data-Warehouse/OLAP Framework for Scalable Telecommunication Tandem Traffic Analysis
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Load Shedding for Aggregation Queries over Data Streams
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Streaming queries over streaming data
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Multi-dimensional regression analysis of time-series data streams
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Supporting the ETL-process by Web Service technologies
International Journal of Web and Grid Services
SGPM: static group pattern mining using apriori-like sliding window
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Mobile user data mining: mining relationship patterns
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
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Our research project aims to build an infrastructure that can efficiently and seamlessly meet the demanding requirements of business event stream-based analytical applications. We focus on the complex event analysis on event streams, QoS-aware event processing services, and a novel event stream processing model that seamlessly and efficiently combines event processing services. That model is built upon the Sense & Respond loops that support a complete Business Intelligence process to sense, interpret, predict, automate and respond to business processes and aim to decrease the time it takes to make the business decisions. We have developed ZELESSA, an event stream management system as a proof of concept.