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» Hierarchical exploration of large multivariate data sets
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ISCC
2006
IEEE
169views Communications» more  ISCC 2006»
15 years 3 months ago
Hierarchical Anomaly Detection in Distributed Large-Scale Sensor Networks
In this paper, an anomaly detection approach that fuses data gathered from different nodes in a distributed wireless sensor network is proposed and evaluated. The emphasis of this...
Vasilis Chatzigiannakis, Symeon Papavassiliou, Mar...
IV
2007
IEEE
164views Visualization» more  IV 2007»
15 years 3 months ago
Combining DagMaps and Sugiyama Layout for the Navigation of Hierarchical Data
This paper presents a novel technique for exploring and navigating large hierarchies, not restricted to trees but to directed acyclic graphs (dags). The technique combines two dif...
Pierre-Yves Koenig, Guy Melançon, Charles B...
NC
2006
132views Neural Networks» more  NC 2006»
14 years 9 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
83
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CIDM
2007
IEEE
15 years 4 months ago
Scalable Clustering for Large High-Dimensional Data Based on Data Summarization
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
Ying Lai, Ratko Orlandic, Wai Gen Yee, Sachin Kulk...
BIBE
2003
IEEE
116views Bioinformatics» more  BIBE 2003»
15 years 2 months ago
An Assessment of a Metric Space Database Index to Support Sequence Homology
Hierarchical metric-space clustering methods have been commonly used to organize proteomes into taxonomies. Consequently, it is often anticipated that hierarchical clustering can ...
Rui Mao, Weijia Xu, Neha Singh, Daniel P. Miranker