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» Phenomenal Data Mining: From Data to Phenomena
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PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
15 years 7 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
ICDM
2006
IEEE
133views Data Mining» more  ICDM 2006»
15 years 7 months ago
An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task
This work presents a systematic comparison between seven kernels (or similarity matrices) on a graph, namely the exponential diffusion kernel, the Laplacian diffusion kernel, the ...
François Fouss, Luh Yen, Alain Pirotte, Mar...
ICDM
2006
IEEE
93views Data Mining» more  ICDM 2006»
15 years 7 months ago
Comparisons of K-Anonymization and Randomization Schemes under Linking Attacks
Recently K-anonymity has gained popularity as a privacy quantification against linking attacks, in which attackers try to identify a record with values of some identifying attrib...
Zhouxuan Teng, Wenliang Du
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
15 years 7 months ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
ADMA
2006
Springer
167views Data Mining» more  ADMA 2006»
15 years 7 months ago
A Correlation Approach for Automatic Image Annotation
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
David R. Hardoon, Craig Saunders, Sándor Sz...