Which Outlier Detector Should I use? Ting, KM, Aryal, Sunil and Washio, T 2018, Which Outlier Detector Should I use?, in 2018 IEEE International Conference on Data Mining (ICDM), IEEE,, pp. 8-8, doi: 10.1109/ICDM.2018.00015. Attached Files Name Description MIMEType Size Downloads Title Which Outlier Detector Should I use? Author(s) Ting, KM Aryal, Sunil orcid.org/0000-0002-6639-6824 Washio, T Conference name ICDM 2018 Conference location Singapore, Singapore Conference dates 2018/11/17 - 2018/11/20 Title of proceedings 2018 IEEE International Conference on Data Mining (ICDM) Publication date 2018 Start page 8 End page 8 Total pages 1 Publisher IEEE Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science Summary This tutorial has four aims: (1) Providing the current comparative works on different outlier detectors, and analysing the strengths and weaknesses of these works and their recommendations. (2) Presenting non-obvious applications of outlier detectors. This provides examples of how outlier detectors are used in areas which are not normally considered to be the domains of outlier detection. (3) Inviting the research community to explore future research directions, in terms of both comparative study and outlier detection in general. (4) Giving an advice on the factors to consider when choosing an outlier detector, and strengths and weaknesses of some "top" recommended algorithms based on the current understanding in the literature. Notes keywords: data mining;recommender systems;outlier detection;nonobvious applications;recommended algorithms;Detectors;Machine learning;Anomaly detection;Australia;Tutorials;Kernel;Anomaly Detection tutorial ISSN 2374-8486 DOI 10.1109/ICDM.2018.00015 Indigenous content off HERDC Research category E3.1 Extract of paper Persistent URL http://hdl.handle.net/10536/DRO/DU:30121085 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Sun, 28 Apr 2019, 10:37:36 EST Tue, 30 Apr 2019, 13:47:14 EST Tue, 30 Apr 2019, 15:58:42 EST Tue, 30 Apr 2019, 16:08:19 EST Wed, 01 May 2019, 12:51:44 EST Sat, 04 May 2019, 02:33:52 EST Sat, 25 Apr 2020, 02:30:29 EST Sun, 07 Nov 2021, 12:34:56 EST Sun, 07 Nov 2021, 13:15:52 EST Sun, 07 Nov 2021, 13:33:24 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 13 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Tue, 30 Apr 2019, 13:47:14 EST