The HiPAC project: combining active databases and timing constraints
ACM SIGMOD Record - Special Issue on Real-Time Database Systems
Snoop: an expressive event specification language for active databases
Data & Knowledge Engineering
Temporal aggregation in active database rules
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
On computing correlated aggregates over continual data streams
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Active Rules in Database Systems
Active Rules in Database Systems
Active Database Systems: Triggers and Rules for Advanced Database Processing
Active Database Systems: Triggers and Rules for Advanced Database Processing
Processing complex aggregate queries over data streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Continuous queries over data streams
ACM SIGMOD Record
Data streams: algorithms and applications
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
The Ode Active Database: Trigger Semantics and Implementation
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Alert: An Architecture for Transforming a Passive DBMS into an Active DBMS
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Rule Management in Object Oriented Databases: A Uniform Approach
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Composite Event Specification in Active Databases: Model & Implementation
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
The Design and Implementation of a Sequence Database System
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Toward Duration-Based, Constrained and Dynamic Event Types
ARTDB '97 Proceedings of the Second International Workshop on Active, Real-Time, and Temporal Database Systems
ROCK & ROLL: A Deductive Object-Oriented Database with Active and Spatial Extensions
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
One-Pass Wavelet Decompositions of Data Streams
IEEE Transactions on Knowledge and Data Engineering
Approximate join processing over data streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Chain: operator scheduling for memory minimization in data stream systems
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Fjording the Stream: An Architecture for Queries Over Streaming Sensor Data
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
Data stream management system for MavHome
Proceedings of the 2004 ACM symposium on Applied computing
MAIDS: mining alarming incidents from data streams
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
ACM SIGMOD Record
Approximate frequency counts over data streams
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Load shedding in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Operator scheduling in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
PLACE: a query processor for handling real-time spatio-temporal data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
CAMS: OLAPing Multidimensional Data Streams Efficiently
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
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An innovative event-based data stream compression and mining model is presented in this paper. The main novelty of our approach with respect to traditional data stream compression approaches relies on the semantics of the application in driving the compression process by identifying "interested" events occurring in the unbounded stream. This puts the basis for a novel class of intelligent applications over data streams where the knowledge on actual streams is integrated with and correlated to the knowledge related to expired events that are considered critical for the target application scenario.