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Effective Summarization of Multi-Dimensional Data Streams for Historical Stream Mining
Found in: Scientific and Statistical Database Management, International Conference on
By Samer Nassar, Joerg Sander
Issue Date:July 2007
pp. 30
We consider the following problem: given a very large data stream, a limited space to encode the stream, and a compression technique to compress the stream, retain the most important information from the distant past of the stream while at the same time re...
 
Speedup Clustering with Hierarchical Ranking
Found in: Data Mining, IEEE International Conference on
By Jianjun Zhou, Joerg Sander
Issue Date:December 2006
pp. 1205-1210
Many clustering algorithms in particular hierarchical clustering algorithms do not scale-up well for large data-sets especially when using an expensive distance function. In this paper, we propose a novel approach to perform approximate clustering with hig...
 
A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Davoud Moulavi, Joerg Sander, Ricardo J. G. B. Campello
Issue Date:November 2012
pp. 1850-1852
In [CHECK END OF SENTENCE], the authors proposed a framework for automated clustering and visualization of biological data sets named AUTO-HDS. This letter is intended to complement that framework by showing that it is possible to get rid of a user-defined...
     
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