A Survey on Outlier Detection in the Context of Stream Mining: Review of Existing Approaches and Recommadations

• Published in: Intelligent Systems Design and Applications Vol. 557; pp. 372 - 383
• Main Authors: Souiden, Imen, Brahmi, Zaki, Toumi, Hajer
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2017; Springer International Publishing
• Series: Advances in Intelligent Systems and Computing
• Subjects: Artificial intelligence; Data stream; Data stream mining; Outlier detection

Generally, extracting only expected knowledge from data is not sufficient since unexpected ones can hide useful information concerning the data behavior. These information can be further used to optimize the current state. This has lead to the outlier detection. It refers to the data mining task tha...