Package weka.core

Examples of weka.core.TechnicalInformation


   * e.g., paper reference or book this class is based on.
   *
   * @return the technical information about this class
   */
  public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation        result;
   
    result = new TechnicalInformation(Type.INPROCEEDINGS);
    result.setValue(Field.AUTHOR, "J. Han and J.Pei and Y. Yin");
    result.setValue(Field.TITLE, "Mining frequent patterns without candidate generation");
    result.setValue(Field.BOOKTITLE, "Proceedings of the 2000 ACM-SIGMID International" +
        " Conference on Management of Data");
    result.setValue(Field.YEAR, "2000");
    result.setValue(Field.PAGES, "1-12");
   
    return result;
  }
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   * e.g., paper reference or book this class is based on.
   *
   * @return the technical information about this class
   */
  public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation   result;
   
    result = new TechnicalInformation(Type.ARTICLE);
    result.setValue(Field.AUTHOR, "P. A. Flach and N. Lachiche");
    result.setValue(Field.YEAR, "1999");
    result.setValue(Field.TITLE, "Confirmation-Guided Discovery of first-order rules with Tertius");
    result.setValue(Field.JOURNAL, "Machine Learning");
    result.setValue(Field.VOLUME, "42");
    result.setValue(Field.PAGES, "61-95");
   
    return result;
  }
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     * e.g., paper reference or book this class is based on.
     *
     * @return the technical information about this class
     */
    public TechnicalInformation getTechnicalInformation() {
      TechnicalInformation   result;
     
      result = new TechnicalInformation(Type.ARTICLE);
      result.setValue(Field.AUTHOR, "N. Friedman and D. Geiger and M. Goldszmidt");
      result.setValue(Field.YEAR, "1997");
      result.setValue(Field.TITLE, "Bayesian network classifiers");
      result.setValue(Field.JOURNAL, "Machine Learning");
      result.setValue(Field.VOLUME, "29");
      result.setValue(Field.NUMBER, "2-3");
      result.setValue(Field.PAGES, "131-163");
     
      return result;
    }
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   * e.g., paper reference or book this class is based on.
   *
   * @return the technical information about this class
   */
  public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation  result;
   
    result = new TechnicalInformation(Type.INPROCEEDINGS);
    result.setValue(Field.AUTHOR, "K.P. Bennett and M.J. Embrechts");
    result.setValue(Field.TITLE, "An Optimization Perspective on Kernel Partial Least Squares Regression");
    result.setValue(Field.YEAR, "2003");
    result.setValue(Field.EDITOR, "J. Suykens et al.");
    result.setValue(Field.BOOKTITLE, "Advances in Learning Theory: Methods, Models and Applications");
    result.setValue(Field.PAGES, "227-249");
    result.setValue(Field.PUBLISHER, "IOS Press, Amsterdam, The Netherlands");
    result.setValue(Field.SERIES, "NATO Science Series, Series III: Computer and System Sciences");
    result.setValue(Field.VOLUME, "190");
   
    return result;
  }
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   * e.g., paper reference or book this class is based on.
   *
   * @return     the technical information about this class
   */
  public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation   result;
   
    result = new TechnicalInformation(Type.INPROCEEDINGS);
    result.setValue(Field.AUTHOR, "M.-A. Krogel and S. Wrobel");
    result.setValue(Field.TITLE, "Facets of Aggregation Approaches to Propositionalization");
    result.setValue(Field.BOOKTITLE, "Work-in-Progress Track at the Thirteenth International Conference on Inductive Logic Programming (ILP)");
    result.setValue(Field.EDITOR, "T. Horvath and A. Yamamoto");
    result.setValue(Field.YEAR, "2003");
    result.setValue(Field.PDF, "http://kd.cs.uni-magdeburg.de/~krogel/papers/aggs.pdf");
   
    return result;
  }
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   * Returns TechnicalInformation about the paper related to the algorithm.
   *
   * @return       the TechnicalInformation
   */
  public TechnicalInformation getTechnicalInformation() { 
    TechnicalInformation paper = new TechnicalInformation(Type.PROCEEDINGS);

    paper.setValue(Field.AUTHOR, "Ramakrishnan Srikant and Rakesh Agrawal");
    paper.setValue(Field.TITLE, "Mining Sequential Patterns: Generalizations and Performance Improvements");
    paper.setValue(Field.BOOKTITLE, "Advances in Database Technology EDBT '96");
    paper.setValue(Field.YEAR, "1996");
    paper.setValue(Field.PUBLISHER, "Springer");

    return paper;
  }
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   * e.g., paper reference or book this class is based on.
   *
   * @return the technical information about this class
   */
  public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation   result;
   
    result = new TechnicalInformation(Type.INPROCEEDINGS);
    result.setValue(Field.AUTHOR, "L. Jiang and H. Zhang");
    result.setValue(Field.TITLE, "Weightily Averaged One-Dependence Estimators");
    result.setValue(Field.BOOKTITLE, "Proceedings of the 9th Biennial Pacific Rim International Conference on Artificial Intelligence, PRICAI 2006");
    result.setValue(Field.YEAR, "2006");
    result.setValue(Field.PAGES, "970-974");
    result.setValue(Field.SERIES, "LNAI");
    result.setValue(Field.VOLUME, "4099");

    return result;
  }
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   * e.g., paper reference or book this class is based on.
   *
   * @return the technical information about this class
   */
  public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation   result;

    result = new TechnicalInformation(Type.INPROCEEDINGS);
    result.setValue(Field.AUTHOR, "George H. John and Pat Langley");
    result.setValue(Field.TITLE, "Estimating Continuous Distributions in Bayesian Classifiers");
    result.setValue(Field.BOOKTITLE, "Eleventh Conference on Uncertainty in Artificial Intelligence");
    result.setValue(Field.YEAR, "1995");
    result.setValue(Field.PAGES, "338-345");
    result.setValue(Field.PUBLISHER, "Morgan Kaufmann");
    result.setValue(Field.ADDRESS, "San Mateo");

    return result;
  }
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   * e.g., paper reference or book this class is based on.
   *
   * @return the technical information about this class
   */
  public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation   result;
   
    result = new TechnicalInformation(Type.INPROCEEDINGS);
    result.setValue(Field.AUTHOR, "H. Zhang and L. Jiang and J. Su");
    result.setValue(Field.TITLE, "Hidden Naive Bayes");
    result.setValue(Field.BOOKTITLE, "Twentieth National Conference on Artificial Intelligence");
    result.setValue(Field.YEAR, "2005");
    result.setValue(Field.PAGES, "919-924");
    result.setValue(Field.PUBLISHER, "AAAI Press");
   
    return result;
  }
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     * e.g., paper reference or book this class is based on.
     *
     * @return the technical information about this class
     */
    public TechnicalInformation getTechnicalInformation() {
      TechnicalInformation   result;
     
      result = new TechnicalInformation(Type.INPROCEEDINGS);
      result.setValue(Field.AUTHOR, "Jason D. Rennie and Lawrence Shih and Jaime Teevan and David R. Karger");
      result.setValue(Field.TITLE, "Tackling the Poor Assumptions of Naive Bayes Text Classifiers");
      result.setValue(Field.BOOKTITLE, "ICML");
      result.setValue(Field.YEAR, "2003");
      result.setValue(Field.PAGES, "616-623");
      result.setValue(Field.PUBLISHER, "AAAI Press");
     
      return result;
    }
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