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ADC
2003
Springer
182views Database» more  ADC 2003»
14 years 3 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
FQAS
2004
Springer
146views Database» more  FQAS 2004»
14 years 1 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
ICIP
2008
IEEE
14 years 11 months ago
Significant jet point for facial image representation and recognition
Gabor wavelet related feature extraction and classification is an important topic in image analysis and pattern recognition. Gabor features can be used either holistically or anal...
Sanqiang Zhao, Yongsheng Gao
ICDM
2003
IEEE
114views Data Mining» more  ICDM 2003»
14 years 3 months ago
Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis
A significant portion of knowledge discovery and data mining research focuses on finding patterns of interest in data. Once a pattern is found, it can be used to recognize satisfy...
Shou-de Lin, Hans Chalupsky