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ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
16 years 24 days ago
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum volume that contain most of the training samples. B...
Shirish Krishnaj Shevade, Wei Chu
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 11 months ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
ICDE
2006
IEEE
110views Database» more  ICDE 2006»
16 years 8 months ago
Mining Dense Periodic Patterns in Time Series Data
Existing techniques to mine periodic patterns in time series data are focused on discovering full-cycle periodic patterns from an entire time series. However, many useful partial ...
Chang Sheng, Wynne Hsu, Mong-Li Lee
IDEAL
2003
Springer
15 years 12 months ago
Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design
Mining frequent patterns has been a topic of active research because it is computationally the most expensive step in association rule discovery. In this paper, we discuss the use ...
Raj P. Gopalan, Yudho Giri Sucahyo
DAWAK
2010
Springer
15 years 7 months ago
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
Anamika Gupta, Vasudha Bhatnagar, Naveen Kumar