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ICDM
2002
IEEE
106views Data Mining» more  ICDM 2002»
15 years 2 months ago
Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods
Proceedings of IEEE Data Mining, IEEE Press, pp. 581-584, 2002. We describe an interactive way to generate a set of clusters for a given data set. The clustering is done by constr...
Michael R. Berthold, Bernd Wiswedel, David E. Patt...
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
15 years 7 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
14 years 7 months ago
Mining GPS data for extracting significant places
This paper presents a fast and robust algorithm for extracting significant places from a set of raw GPS data points. Determining such places provides valuable context information ...
Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebo...
ESWS
2008
Springer
14 years 11 months ago
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
Christoph Kiefer, Abraham Bernstein, André ...
DATAMINE
1999
140views more  DATAMINE 1999»
14 years 9 months ago
A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems
Abstract. We describe a scalable parallel implementation of the self organizing map (SOM) suitable for datamining applications involving clustering or segmentation against large da...
Richard D. Lawrence, George S. Almasi, Holly E. Ru...