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» An Algebraic Approach to Data Mining: Some Examples
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SSPR
2004
Springer
15 years 11 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
FLAIRS
2010
15 years 8 months ago
Handling of Numeric Ranges for Graph-Based Knowledge Discovery
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Ho...
BALT
2006
15 years 9 months ago
Introducing Softness into Inductive Queries on String Databases
In many application domains (e.g., WWW mining, molecular biology), large string datasets are available and yet under-exploited. The inductive database framework assumes that both s...
Ieva Mitasiunaite, Jean-François Boulicaut
132
Voted
DATE
2002
IEEE
138views Hardware» more  DATE 2002»
15 years 11 months ago
Automatic Evaluation of the Accuracy of Fixed-Point Algorithms
The minimization of cost, power consumption and timeto-market of DSP applications requires the development of methodologies for the automatic implementation of floating-point alg...
Daniel Menard, Olivier Sentieys
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
16 years 3 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki