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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 11 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 11 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
KDD
1995
ACM
167views Data Mining» more  KDD 1995»
15 years 10 months ago
Efficient Algorithms for Attribute-Oriented Induction
Data mining or knowledge discovery in databasesis the search for relationships and global patterns that exist but are hidden in large databases.Many different methodshave been pro...
Hoi-Yee Hwang, Ada Wai-Chee Fu
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
15 years 9 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
KDD
2010
ACM
223views Data Mining» more  KDD 2010»
15 years 9 months ago
An efficient algorithm for a class of fused lasso problems
The fused Lasso penalty enforces sparsity in both the coefficients and their successive differences, which is desirable for applications with features ordered in some meaningful w...
Jun Liu, Lei Yuan, Jieping Ye