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» Using Anonymized Data for Classification
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129
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SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
15 years 5 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
140
Voted
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
15 years 7 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian
145
Voted
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
15 years 1 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
NIPS
2001
15 years 5 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
170
Voted
ECBS
2010
IEEE
142views Hardware» more  ECBS 2010»
15 years 1 months ago
A Data Warehouse Model for Integrating Fuzzy Concepts in Meta Table Structures
In classical data warehouses (DWH), classification of values takes place in a sharp manner, because of this true values cannot be measured and smooth transition between classes do...
Daniel Fasel, Khurram Shahzad