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IJCNN
2007
IEEE
15 years 3 months ago
An Associative Memory for Association Rule Mining
— Association Rule Mining is a thoroughly studied problem in Data Mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the...
Vicente O. Baez-Monroy, Simon O'Keefe
77
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SSD
2007
Springer
124views Database» more  SSD 2007»
15 years 3 months ago
Querying Objects Modeled by Arbitrary Probability Distributions
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
VISUALIZATION
2005
IEEE
15 years 3 months ago
VolQD: Direct Volume Rendering of Multi-million Atom Quantum Dot Simulations
In this work we present a hardware-accelerated direct volume rendering system for visualizing multivariate wave functions in semiconducting quantum dot (QD) simulations. The simul...
Wei Qiao, David S. Ebert, Alireza Entezari, Marek ...
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
15 years 2 months ago
TSP: Mining Top-K Closed Sequential Patterns
Sequential pattern mining has been studied extensively in data mining community. Most previous studies require the specification of a minimum support threshold to perform the min...
Petre Tzvetkov, Xifeng Yan, Jiawei Han
ICDM
2002
IEEE
167views Data Mining» more  ICDM 2002»
15 years 2 months ago
From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns
In this paper, we propose a new framework for mining frequent patterns from large transactional databases. The core of the framework is of a novel coded prefix-path tree with two...
Yabo Xu, Jeffrey Xu Yu, Guimei Liu, Hongjun Lu