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» Data Clustering: A Review
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IJCAI
2007
15 years 8 months ago
Detecting Changes in Unlabeled Data Streams Using Martingale
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
Shen-Shyang Ho, Harry Wechsler
PDCAT
2005
Springer
16 years 8 days ago
Solving Very Large Traveling Salesman Problems by SOM Parallelization on Cluster Architectures
This paper describes how to solve very large TravelingSalesman Problems heuristically by the parallelization of self-organizing maps on cluster architectures. The used way of para...
Hannes Schabauer, Erich Schikuta, Thomas Weish&aum...
VIS
2008
IEEE
137views Visualization» more  VIS 2008»
16 years 8 months ago
Importance-Driven Time-Varying Data Visualization
The ability to identify and present the most essential aspects of time-varying data is critically important in many areas of science and engineering. This paper introduces an impor...
Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma
WWW
2005
ACM
16 years 10 days ago
X-warehouse: building query pattern-driven data
In this paper, we propose an approach to materialize XML data warehouses based on the frequent query patterns discovered from historical queries issued by users. The schemas of in...
Ji Zhang, Wei Wang, Han Liu, Sheng Zhang
ESANN
2003
15 years 8 months ago
Semi-automatic acquisition and labelling of image data using SOMs
Abstract. Application of neural networks for real world object recognition suffers from the need to acquire large quantities of labelled image data. We propose a solution that acq...
Gunther Heidemann, Axel Saalbach, Helge Ritter