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» Mining Model Trees from Spatial Data
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151
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UAI
2004
15 years 4 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
121
Voted
AUSDM
2006
Springer
100views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Data Mining Methodological Weaknesses and Suggested Fixes
Predictive accuracy claims should give explicit descriptions of the steps followed, with access to the code used. This allows referees and readers to check for common traps, and t...
John H. Maindonald
FOIKS
2010
Springer
15 years 6 months ago
On the Existence of Armstrong Data Trees for XML Functional Dependencies
Armstrong databases are a popular tool in example-based database design. An Armstrong database for a given constraint set from a fixed constraint class Z satisfies precisely those ...
Sven Hartmann, Henning Köhler, Thu Trinh
121
Voted
ICDM
2002
IEEE
122views Data Mining» more  ICDM 2002»
15 years 8 months ago
Using Category-Based Adherence to Cluster Market-Basket Data
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
CORR
2010
Springer
74views Education» more  CORR 2010»
15 years 3 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