AB - There has been a rising need to handle and process streaming kind of data. It is continuous, unpredictable, time-varying in nature and could arrive in multiple rapid streams. Sensor data, web clickstreams, etc. are the examples of streaming data. One of AU - Mohania, M AU - Swamini, D AU - Gupta, SK AU - Bhowmick, S AU - Dillon, TS CY - Berlin, Germany DA - 2005/01/01 DO - 10.1007/11546924_74 EP - 765 JO - International Conference on Database and Expert Systems Applications PB - Springer-Verlag Berlin PY - 2005/01/01 SP - 756 TI - Event composition and detection in data stream management systems VL - 3588 Y1 - 2005/01/01 Y2 - 2024/03/28 ER -