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Conferences in DBLP

Knowledge Discovery and Data Mining (KDD) (kdd)
2001 (conf/kdd/2001t)

  1. Jiawei Han, Laks V. S. Lakshmanan, Jian Pei
    Scalable frequent-pattern mining methods: an overview. [Citation Graph (0, 0)][DBLP]
    KDD Tutorials, 2001, pp:- [Conf]
  2. R. Douglas Martin
    Data mining for outliers with robust statistics. [Citation Graph (0, 0)][DBLP]
    KDD Tutorials, 2001, pp:- [Conf]
  3. Hillol Kargupta, Anupam Joshi
    Data mining "to go": ubiquitous KDD for mobile and distributed environments. [Citation Graph (0, 0)][DBLP]
    KDD Tutorials, 2001, pp:- [Conf]
  4. Steve Gallant, Gregory Piatetsky-Shapiro, Ming Tan
    Value-based data mining and web mining for CRM. [Citation Graph (0, 0)][DBLP]
    KDD Tutorials, 2001, pp:- [Conf]
  5. Johannes Gehrke, Wei-Yin Loh
    Advances in decision tree construction. [Citation Graph (0, 0)][DBLP]
    KDD Tutorials, 2001, pp:- [Conf]
  6. Usama M. Fayyad, Neal Rothleder, Paul S. Bradley
    E-business enterprise data mining. [Citation Graph (0, 0)][DBLP]
    KDD Tutorials, 2001, pp:- [Conf]
  7. Bruce A. Shapiro, David Bengali, Wojciech Kasprzak
    Determination of RNA folding pathway functional intermediates using a massively parallel genetic algorithm (abstract of invited talk). [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:1- [Conf]
  8. Simon M. Lin, Sumeer Dhar, Rose-Mary N. Boustany
    Extracting knowledge from gene expression data: A case study of Batten Disease. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:2-7 [Conf]
  9. Goutham Kurra, Wen Niu, Raj Bhatnagar
    Mining microarray expression data for classifier gene-cores. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:8-14 [Conf]
  10. Paul Pavlidis, Christopher Tang, William Stafford Noble
    Classification of genes using probabilistic models of microarray expression profiles. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:15-21 [Conf]
  11. Silvio Bicciato, Mario Pandin, Giuseppe Didone, Carlo Di Bello
    Analysis of an associative memory neural network for pattern identification in gene expression data. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:22-30 [Conf]
  12. Mark K. Goldberg, Darren T. Lim, Malik Magdon-Ismail
    A learning algorithm for string assembly. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:31-37 [Conf]
  13. Sun Kim, Li Liao, Jean-Francois Tomb
    A probabilistic approach to sequence assembly validation. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:38-43 [Conf]
  14. Charles Elkan
    Shared challenges in data mining and computational biology (abstract of invited talk). [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:44- [Conf]
  15. Mikael Huss, Henrik Boström, Lars Asker, Joakim Cöster
    Learning to recognize brain specific proteins based on low-level features from on-line prediction servers. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:45-49 [Conf]
  16. Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer
    Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:50-59 [Conf]
  17. Eugen C. Buehler, Lyle H. Ungar
    Maximum entropy methods for biological sequence modeling. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:60-64 [Conf]
  18. Raymond T. Ng, Jörg Sander, Monica C. Sleumer
    Hierarchical cluster analysis of SAGE data for cancer profiling. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:65-72 [Conf]
  19. Valerie Guralnik, George Karypis
    A scalable algorithm for clustering protein sequences. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:73-80 [Conf]
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for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002