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» New Algorithms for Statistical Analysis of Interval Data
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ISCI
2008
116views more  ISCI 2008»
15 years 4 months ago
Discovery of maximum length frequent itemsets
The use of frequent itemsets has been limited by the high computational cost as well as the large number of resulting itemsets. In many real-world scenarios, however, it is often ...
Tianming Hu, Sam Yuan Sung, Hui Xiong, Qian Fu
CAD
2004
Springer
15 years 4 months ago
Local topological beautification of reverse engineered models
Boundary representation models reconstructed from 3D range data suffer from various inaccuracies caused by noise in the data and by numerical errors in the model building software...
C. H. Gao, Frank C. Langbein, A. David Marshall, R...
PVLDB
2008
107views more  PVLDB 2008»
15 years 2 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
COMPGEOM
2009
ACM
15 years 8 months ago
Kinetic spanners in Rd
We present a new (1 + ε)-spanner for sets of n points in Rd . Our spanner has size O(n/εd−1 ) and maximum degree O(logd n). The main advantage of our spanner is that it can be...
Mohammad Ali Abam, Mark de Berg
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 10 months ago
Non-redundant Multi-view Clustering via Orthogonalization
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy