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JMLR
2010
130views more  JMLR 2010»
14 years 8 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
16 years 1 months ago
Approximate Confidence Computation in Probabilistic Databases
Abstract-- This paper introduces a deterministic approximation algorithm with error guarantees for computing the probability of propositional formulas over discrete random variable...
Dan Olteanu, Jiewen Huang, Christoph Koch
ICDM
2007
IEEE
169views Data Mining» more  ICDM 2007»
15 years 5 months ago
Efficient Discovery of Frequent Approximate Sequential Patterns
We propose an efficient algorithm for mining frequent approximate sequential patterns under the Hamming distance model. Our algorithm gains its efficiency by adopting a "brea...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu
SDM
2007
SIAM
106views Data Mining» more  SDM 2007»
15 years 3 months ago
Approximating Representations for Large Numerical Databases
The paper introduces a notion of support for realvalued functions. It is shown how to approximate supports of a large class of functions based on supports of so called polynomial ...
Szymon Jaroszewicz, Marcin Korzen
COMGEO
2008
ACM
15 years 1 months ago
Approximation of an open polygonal curve with a minimum number of circular arcs and biarcs
We present an algorithm for approximating a given open polygonal curve with a minimum number of circular arcs. In computer-aided manufacturing environments, the paths of cutting t...
Robert L. Scot Drysdale, Günter Rote, Astrid ...