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» An Algebraic Approach to Data Mining: Some Examples
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KDD
2002
ACM
119views Data Mining» more  KDD 2002»
16 years 3 days ago
On effective classification of strings with wavelets
In recent years, the technological advances in mapping genes have made it increasingly easy to store and use a wide variety of biological data. Such data are usually in the form o...
Charu C. Aggarwal
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
15 years 5 months ago
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum volume that contain most of the training samples. B...
Shirish Krishnaj Shevade, Wei Chu
KDD
2007
ACM
137views Data Mining» more  KDD 2007»
16 years 3 days ago
Characterising the difference
Characterising the differences between two databases is an often occurring problem in Data Mining. Detection of change over time is a prime example, comparing databases from two b...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
WSC
2000
15 years 1 months ago
Input modeling using a computer algebra system
Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit ...
Diane L. Evans, Lawrence Leemis
ICDE
2009
IEEE
173views Database» more  ICDE 2009»
14 years 9 months ago
Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database
There is a huge wealth of sequence data available, for example, customer purchase histories, program execution traces, DNA, and protein sequences. Analyzing this wealth of data to ...
Bolin Ding, David Lo, Jiawei Han, Siau-Cheng Khoo