ECML PKDD 2006 Workshop on Parallel Data Mining
Workshop Program - Monday, 18 Sept. 2006
Technical session 1
Exploiting Thread-Level Parallelism to Build Decision Trees
Karsten Steinhaeuser, Nitesh V. Chawla
A Hierarchical Distributed Approach for Mining Molecular Fragments
Christoph Sieb, Giuseppe Di Fatta, Michael R. Berthold
Customizing the APPSPACK Software for Parallel Parameter Tuning of a Hybrid Parallel Support Vector Machine
Tatjana Eitrich, Bruno Lang, Achim Streit
Technical session 2
Parallel Training of CRFs: A Practical Approach to Build Large-Scale Prediction Models for Structured Data
H.X. Phan, M.L. Nguyen, S. Horiguchi, Y. Inoguchi, B.T. Ho
A Parallel Feature Selection Algorithm from Random Subsets
Daniel J. Garcia, Lawrence O. Hall, Dmitry B. Goldgof, Kurt Kramer
Scalable, Adaptive Distributed Association Rule Mining Algorithms for Skewed Datasets
Marwa K. Elteir, Khalil M. Ahmed, Vijay V. Raghavan, Alaaeldein M. Hafez
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