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

Zhang, X, Dou, W, He, Q, Zhou, Rui ORCID: 0000-0001-6807-4362, Leckie, C, Kotagiri, R and Salcic, Z (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)
ISBN: 9781509065431
Uncontrolled Keywords: outlier detection; fraud detection; Locality-Sensitive Hashing; big data
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
Faculty/School/Research Centre/Department > Centre for Applied Informatics
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 21 Jun 2018 06:09
Last Modified: 21 Jun 2018 06:09
URI: http://vuir.vu.edu.au/id/eprint/36373
DOI: https://doi.org/10.1109/ICDE.2017.145
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Citations in Scopus: 8 - View on Scopus

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