Year: 2007
Type: article
Abstract: [Abstract]: The explosion of data streams has sparked a lot of research interests in data mining on streaming data flow in recent years. Many data streams are inherently high dimensional and outlier detection from these data streams can potentially lead to discovery of useful abnormal and irregular patterns hidden in the streams. Outlier detection in data streams can be useful in many fields such as analysis and monitoring of network \ntraffic data, web log, sensor networks and financial transactions.
Authors: Ji Zhang, Qigang Gao, Hai Wang
Institutions: Dalhousie University, Saint Mary's University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1582424504