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» Intervention Events Detection and Prediction in Data Streams
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WAIM
2009
Springer
13 years 11 months ago
Intervention Events Detection and Prediction in Data Streams
Abstract. Mining interesting patterns in data streams has attracted special attention recently. This study revealed the principles behind observations, through variation of interve...
Yue Wang, Changjie Tang, Chuan Li, Yu Chen, Ning Y...
WAIM
2010
Springer
13 years 4 months ago
An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams
Huge time-series stream data are collected every day from many areas, and their trends may be impacted by outside events, hence biased from its normal behavior. This phenomenon is ...
Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun L...
ICDM
2007
IEEE
301views Data Mining» more  ICDM 2007»
13 years 10 months ago
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream
Event detection is one of the most important issues of event processing system, especially Complex Event Processing (CEP). Outlier event, change event and burst event are three ty...
Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao
BIOSURVEILLANCE
2007
Springer
14 years 1 months ago
A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data
Abstract. This paper reviews the results of a study into combining evidence from multiple streams of surveillance data in order to improve timeliness and specificity of detection ...
Josep Roure, Artur Dubrawski, Jeff Schneider
PVLDB
2010
166views more  PVLDB 2010»
13 years 5 months ago
Complex Event Detection at Wire Speed with FPGAs
Complex event detection is an advanced form of data stream processing where the stream(s) are scrutinized to identify given event patterns. The challenge for many complex event pr...
Louis Woods, Jens Teubner, Gustavo Alonso