Filtering algorithms and implementation for very fast publish/subscribe systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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Intelligence organizations face the daunting task of collecting all relevant pieces of information and to draw conclusions about potential threats in a timely manner. Typical information sources range from news tickers, financial transaction logs and message logs to satellite images and speech recordings. This wealth of data is continuously updated and arrives in high-speed data streams; it needs to be analyzed both in real-time (e.g., to estimate the importance of the information and to generate early threat alerts) and offline by sophisticated data mining tools. This work focuses on the real-time aspects of processing these massive streams of intelligence data. We also show how real-time and data mining components can interact effectively.