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ICFEM
2004
Springer
15 years 12 months ago
Memory-Model-Sensitive Data Race Analysis
Abstract. We present a “memory-model-sensitive” approach to validating correctness properties for multithreaded programs. Our key insight is that by specifying both the inter-t...
Yue Yang, Ganesh Gopalakrishnan, Gary Lindstrom
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
15 years 10 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
16 years 1 months ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 9 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
OOPSLA
2007
Springer
16 years 22 days ago
A rewriting approach to the design and evolution of object-oriented languages
Abstract. Object-oriented language concepts have been highly successful, resulting in a large number of object-oriented languages and language extensions. Unfortunately, formal met...
Mark Hills, Grigore Rosu