LSHiForest: A Generic Framework for Fast Tree Isolation Based Ensemble Anomaly Analysis

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Zhang, Xuyun, Dou, Wanchun, He, Qiang ORCID: 0000-0002-2607-4556, Zhou, Rui ORCID: 0000-0001-6807-4362, Leckie, Christopher, Kotagiri, Ramamohanarao and Salcic, Zoran (2017) LSHiForest: A Generic Framework for Fast Tree Isolation Based Ensemble Anomaly Analysis. In: 2017 IEEE 33rd International Conference on Data Engineering (ICDE 2017), 19 April 2017-22 April 2017, San Diego, California, USA.

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Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/36373
DOI 10.1109/ICDE.2017.145
Official URL https://ieeexplore.ieee.org/document/7930041/
ISBN 9781509065431
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Current > Division/Research > College of Science and Engineering
Keywords outlier detection; fraud detection; Locality-Sensitive Hashing; big data
Citations in Scopus 52 - View on Scopus
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