Please use this identifier to cite or link to this item:
|Title:||Application Of Self-Organizing Maps To Clustering Of High-Frequency Financial Data|
|Publisher:||Australian Computer Society Inc.|
|Citation:||Application Of Self-Organizing Maps To Clustering Of High-Frequency Financial Data, Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32, vol.32,(),2004,pp 85-90|
|Disclaimer:||This work has been made available to the staff and students of the University of Sydney for the purposes of research and study only. It constitutes material that is held by the University for the purposes of reporting for HERDC and the ERA. This work may not be downloaded, copied and distributed to any third party .|
|Type:||E1 - Conference proceeding|
|Appears in Collections:||University of Sydney Research Outputs|
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