Visual terrain analysis of high-dimensional datasets

Li, W., Ong, Kok-Leong and Ng, W. 2005, Visual terrain analysis of high-dimensional datasets, Lecture notes in computer science, vol. LNAI 3721, pp. 593-600.

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Title Visual terrain analysis of high-dimensional datasets
Author(s) Li, W.
Ong, Kok-Leong
Ng, W.
Journal name Lecture notes in computer science
Volume number LNAI 3721
Start page 593
End page 600
Publisher Springer-Verlag
Place of publication Berlin , Germany
Publication date 2005
ISSN 0302-9743
Keyword(s) algorithms
visual communication
preprocessing data
real-world datasets
response function
visual terrain analysis
Summary Most real-world datasets are, to a certain degree, skewed. When considered that they are also large, they become the pinnacle challenge in data analysis. More importantly, we cannot ignore such datasets as they arise frequently in a wide variety of applications. Regardless of the analytic, it is often that the effectiveness of analysis can be improved if the characteristic of the dataset is known in advance. In this paper, we propose a novel technique to preprocess such datasets to obtain this insight. Our work is inspired by the resonance phenomenon, where similar objects resonate to a given response function. The key analytic result of our work is the data terrain, which shows properties of the dataset to enable effective and efficient analysis. We demonstrated our work in the context of various real-world problems. In doing so, we establish it as the tool for preprocessing data before applying computationally expensive algorithms.
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Persistent URL http://hdl.handle.net/10536/DRO/DU:30008900

Document type: Journal Article
Collection: School of Engineering and Information Technology
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