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ICDM
2003
IEEE
96views Data Mining» more  ICDM 2003»
16 years 4 days ago
Mining Plans for Customer-Class Transformation
We consider the problem of mining high-utility plans from historical plan databases that can be used to transform customers from one class to other, more desirable classes. Tradit...
Qiang Yang, Hong Cheng
BNCOD
2003
127views Database» more  BNCOD 2003»
15 years 8 months ago
Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
P. Mishra, Sharma Chakravarthy
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
16 years 1 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
ICDM
2006
IEEE
176views Data Mining» more  ICDM 2006»
16 years 27 days ago
Razor: mining distance-constrained embedded subtrees
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...
ICPR
2008
IEEE
16 years 1 months ago
Semi-supervised learning by locally linear embedding in kernel space
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masu...