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DAWAK
2008
Springer
15 years 3 months ago
Mining Multidimensional Sequential Patterns over Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery and has been widely studied for over a decade by data mining researchers. More and more, with the ...
Chedy Raïssi, Marc Plantevit
PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
15 years 7 months ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
ISAAC
2005
Springer
122views Algorithms» more  ISAAC 2005»
15 years 7 months ago
Fast k-Means Algorithms with Constant Approximation
In this paper we study the k-means clustering problem. It is well-known that the general version of this problem is NP-hard. Numerous approximation algorithms have been proposed fo...
Mingjun Song, Sanguthevar Rajasekaran
IDEAL
2003
Springer
15 years 7 months ago
GMM Based on Local Fuzzy PCA for Speaker Identification
To reduce the high dimensionality required for training of feature vectors in speaker identification, we propose an efficient GMM based on local PCA with Fuzzy clustering. The prop...
JongJoo Lee, JaeYeol Rheem, Ki Yong Lee
IGARSS
2009
14 years 11 months ago
Reducing the Dimensionality of Hyperspectral Data using Diffusion Maps
We examine the analysis of hyperspectral data produced by the Hyperspectral Core Imager of AngloGold Ashanti. The dimension of the data is reduced using diffusion maps and the dat...
Luis du Plessis, Steven Damelin, Michael Sears