H
Huidong Jin
Researcher at Commonwealth Scientific and Industrial Research Organisation
Publications - 83
Citations - 2034
Huidong Jin is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Cluster analysis & Fuzzy clustering. The author has an hindex of 21, co-authored 79 publications receiving 1828 citations. Previous affiliations of Huidong Jin include The Chinese University of Hong Kong & NICTA.
Papers
More filters
Book ChapterDOI
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
TL;DR: A novel Local Distance-based Outlier Factor (LDOF) to measure the outlier-ness of objects in scattered datasets which is less sensitive to parameter values and compares favorably to classical KNN and LOF based outlier detection.
Journal ArticleDOI
Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment
Luigi J. Renzullo,A. I. J. M. van Dijk,Jean-Michel Perraud,D. Collins,Brent Henderson,Huidong Jin,Adam B Smith,David McJannet +7 more
TL;DR: In this article, a framework was developed for the continental assimilation of satellite soil moisture (SM) into an operational water balance modelling system, and the ensemble Kalman filter was implemented to assimilate AMSR-E and ASCAT-derived SM products into the landscape model of the Australian Water Resources Assessment system (AWRA-L) and generate ensembles of daily top-layer and shallow root-zone soil moisture analyses for the continent at 0.05° resolution.
Journal ArticleDOI
An expanding self-organizing neural network for the traveling salesman problem
TL;DR: Though its solution accuracy is not yet comparable to some other sophisticated heuristics, the ESOM is one of the most accurate neural networks for the TSP in the literature.
Journal ArticleDOI
Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions
TL;DR: The MUTARC is applied to generate adverse drug reaction (ADR) signals from real-world healthcare administrative databases and reliably shortlists not only six known ADRs, but also another ADR, flucloxacillin possibly causing hepatitis, which the algorithm designers and experiment runners have not known before the experiments.
Proceedings ArticleDOI
Mining risk patterns in medical data
Jiuyong Li,Ada Wai-Chee Fu,Hongxing He,Jie Chen,Huidong Jin,Damien McAullay,Graham J. Williams,Ross Sparks,Chris Kelman +8 more
TL;DR: An anti-monotone property is studied for mining optimal risk pattern sets and an algorithm to make use of the property in risk pattern discovery is presented.