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DAGSTUHL
2004
15 years 8 months ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz
CORR
2010
Springer
74views Education» more  CORR 2010»
15 years 7 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
15 years 5 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
ICDM
2009
IEEE
138views Data Mining» more  ICDM 2009»
15 years 4 months ago
Accurate Discovery of Valid Convoys from Moving Object Trajectories
Given a set of moving object trajectories, it is of interest to find a group of objects, called a convoy, that are spatially density-connected for a certain duration of time. Howev...
Hyunjin Yoon, Cyrus Shahabi
PAKDD
2011
ACM
209views Data Mining» more  PAKDD 2011»
14 years 10 months ago
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation
Abstract. Given a graph with billions of nodes and edges, how can we find patterns and anomalies? Are there nodes that participate in too many or too few triangles? Are there clos...
U. Kang, Brendan Meeder, Christos Faloutsos