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» Techniques of Cluster Algorithms in Data Mining
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ICDM
2008
IEEE
155views Data Mining» more  ICDM 2008»
16 years 1 months ago
Organic Pie Charts
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
Fabian Mörchen
GIS
2008
ACM
16 years 7 months ago
Privacy: preserving trajectory collection
In order to provide context?aware Location?Based Services, real location data of mobile users must be collected and analyzed by spatio?temporal data mining methods. However, the d...
Gyözö Gidófalvi, Torben Bach Pede...
ICML
2005
IEEE
16 years 7 months ago
Clustering through ranking on manifolds
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
Markus Breitenbach, Gregory Z. Grudic
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
15 years 4 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
CCGRID
2006
IEEE
16 years 19 days ago
SAHA: A Scheduling Algorithm for Security-Sensitive Jobs on Data Grids
Security-sensitive applications that access and generate large data sets are emerging in various areas such as bioinformatics and high energy physics. Data grids provide data-inte...
Tao Xie 0004, Xiao Qin