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RCIS
2010
15 years 1 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
137
Voted
JSC
2008
162views more  JSC 2008»
15 years 3 months ago
Approximate factorization of multivariate polynomials using singular value decomposition
We describe the design, implementation and experimental evaluation of new algorithms for computing the approximate factorization of multivariate polynomials with complex coefficie...
Erich Kaltofen, John P. May, Zhengfeng Yang, Lihon...
ICCD
2008
IEEE
160views Hardware» more  ICCD 2008»
15 years 10 months ago
An improved micro-architecture for function approximation using piecewise quadratic interpolation
We present a new micro-architecture for evaluating functions based on piecewise quadratic interpolation. The micro-architecture consists mainly of a look-up table and two multiply...
Shai Erez, Guy Even
135
Voted
ICAC
2006
IEEE
15 years 9 months ago
Hardness of Approximation and Greedy Algorithms for the Adaptation Problem in Virtual Environments
— Over the past decade, wide-area distributed computing has emerged as a powerful computing paradigm. Virtual machines greatly simplify wide-area distributed computing ing the ab...
Ananth I. Sundararaj, Manan Sanghi, John R. Lange,...
114
Voted
ADC
2006
Springer
120views Database» more  ADC 2006»
15 years 9 months ago
Approximate data mining in very large relational data
In this paper we discuss eNERF, an extended version of non-Euclidean relational fuzzy c-means (NERFCM) for approximate clustering in very large (unloadable) relational data. The e...
James C. Bezdek, Richard J. Hathaway, Christopher ...