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» Efficient Pattern Mining of Uncertain Data with Sampling
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GRC
2008
IEEE
13 years 10 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 9 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
PAMI
2006
127views more  PAMI 2006»
13 years 8 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
AUSDM
2007
Springer
113views Data Mining» more  AUSDM 2007»
14 years 3 months ago
PCITMiner- Prefix-based Closed Induced Tree Miner for finding closed induced frequent subtrees
Frequent subtree mining has attracted a great deal of interest among the researchers due to its application in a wide variety of domains. Some of the domains include bio informati...
Sangeetha Kutty, Richi Nayak, Yuefeng Li
ICDE
2007
IEEE
209views Database» more  ICDE 2007»
14 years 3 months ago
Hierarchical Temporal Association Mining for Video Event Detection in Video Databases
With the proliferation of multimedia data and evergrowing requests for multimedia applications, new challenges are emerged for efficient and effective managing and accessing large...
Min Chen, Shu-Ching Chen, Mei-Ling Shyu