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DATESO
2010
148views Database» more  DATESO 2010»
9 years 9 days ago
Using Spectral Clustering for Finding Students' Patterns of Behavior in Social Networks
Abstract. The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon,...
Gamila Obadi, Pavla Drázdilová, Jan ...
JDWM
2006
84views more  JDWM 2006»
9 years 2 months ago
Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data
This paper focuses on the discovery of surprising, unexpected patterns, based on a data mining method that consists of detecting instances of Simpson's paradox. By its very n...
Carem C. Fabris, Alex Alves Freitas
CLA
2004
9 years 3 months ago
Concept Lattice Generation by Singular Value Decomposition
Abstract. Latent semantic indexing (LSI) is an application of numerical method called singular value decomposition (SVD), which discovers latent semantic in documents by creating c...
Petr Gajdos, Pavel Moravec, Václav Sn&aacut...
ICDCS
2003
IEEE
9 years 7 months ago
Cross-Feature Analysis for Detecting Ad-Hoc Routing Anomalies
With the proliferation of wireless devices, mobile ad hoc networking (MANET) has become a very exciting and important technology due to its characteristics of open medium and dyna...
Yi-an Huang, Wei Fan, Wenke Lee, Philip S. Yu
IUI
2004
ACM
9 years 7 months ago
Visual data mining and zoomable interfaces
In this paper an approach for combining a focus+context visual data mining method with zoomable interfaces is shown. Therefore a zoomable interface for analysing structurable imag...
Alexander Kort
KDD
2001
ACM
142views Data Mining» more  KDD 2001»
10 years 2 months ago
TreeDT: gene mapping by tree disequilibrium test
We introduce and evaluate TreeDT, a novel gene mapping method which is based on discovering and assessing tree-like patterns in genetic marker data. Gene mapping aims at discoveri...
Petteri Sevon, Hannu Toivonen, Vesa Ollikainen
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
10 years 2 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
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