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HIS
2001
15 years 6 months ago
An Automated Report Generation Tool for the Data Understanding Phase
To successfully prepare and model data, the data miner needs to be aware of the properties of the data manifold. In this chapter, the outline of a tool for automatically generating...
Juha Vesanto, Jaakko Hollmén
ISMIS
2009
Springer
15 years 11 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
IJCAI
2007
15 years 6 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
15 years 10 months 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 6 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