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Towards an effective cooperation of the user and the computer for classification

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Published:01 August 2000Publication History
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References

  1. 1.Ankerst M., Elsen C., Ester M., Kriegel H.-P.: Visual Classification: An Interactive Approach to Decision Tree Construction, Proc. 5th Int. Conf. on Knowledge Discovery and Data Mining (KDD'99), San Diego, CA, 1999, pp. 392-396. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.Ankerst M., Keim D. A., Kriegel H.-P.:"Circle Segments: A Technique for Visually Exploring Large Multidimensional Data Sets, Proc. Visualization '96, Hot Topic Session, San Francisco, CA, 1996.Google ScholarGoogle Scholar
  3. 3.http://www.angoss.com/Google ScholarGoogle Scholar
  4. 4.Breiman L., Friedman J.H., Olshen R.A., Stone P.J.: Classification and Reggression Trees, Wadsworth Publishing, Belmont, CA, 1984.Google ScholarGoogle Scholar
  5. 5.Berchtold S., Jagadish H.V., Ross K.A.: Independence Diagrams: A Technique for Visual Data Mining, Proc. 4th Intl. Conf. on Knowledge Discovery and Data Mining (KDD'98), New York City, 1998, pp. 139-143.Google ScholarGoogle Scholar
  6. 6.Domingos P.: The Role of Occam's Razor in Knowledge Discovery, Data Mining and Knowledge Discovery, an International Journal, Kluwer Academic Publishers, Vol.3, 1999, pp. 409-425. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. 7.Coppersmith D., Hong S.J., Hosking J.R.M.: Partitioning Nominal Attributes in Decision Trees, Data Mining and Knowledge Discovery, an International Journal, Kluwer Academic Publishers, Vol.3, 1999, pp. 197-217. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. 8.Han J., Lakshmanan L., Ng R.: Constraint-Based, Multidimensional Data Mining, IEEE Computer, Vol. 32, No. 8, 1999, pp. 46-50. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. 9.Keim D. A.:Visual Database Exploration Techniques, Proc. Tutorial Int. Conf. on Knowledge Discovery & Data Mining (KDD'97), Newport Beach, CA, 1997.(http://www.informatik. uni-halle.de/~keim/PS/KDD97.pdf)Google ScholarGoogle Scholar
  10. 10.Kohavi R., Sommerfield D.: Targeting Business Users with Decision Table Classifiers, Proc. 4th Intl. Conf. on Knowledge Discovery and Data Mining (KDD'98), New York City, 1998, pp. 249-253.Google ScholarGoogle Scholar
  11. 11.Mehta M., Agrawal R., Rissanen J.: SLIQ: A Fast Scalable Classifier for Data Mining, Proc. of the Int. Conf. on Extending Database Technology (EDBT '96), Avignon, France, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. 12.Mitchel T.M.: Machine Learning, McGraw Hill, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. 13.Michie D., Spiegelhalter D.J., Taylor C.C.: Machine Learning, Neural and Statistical Classification, Ellis Horwood, 1994. See also http://www.ncc.up.pt/liacc/ML/statlog/datasets.html. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. 14.NASA Ames Research Center: Introduction to IND Version 2.1, 1992.Google ScholarGoogle Scholar
  15. 15.Ridgeway G., Madigan D., Richardson T., O'Kane J.: Interpretable Boosted Naive Bayes Classification, Proc. 4th Intl. Conf. on Knowledge Discovery and Data Mining (KDD'98), New York City, 1998, pp. 101-106.Google ScholarGoogle Scholar
  16. 16.http://www.spss.com/answertree/Google ScholarGoogle Scholar

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                cover image ACM Conferences
                KDD '00: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
                August 2000
                537 pages
                ISBN:1581132336
                DOI:10.1145/347090

                Copyright © 2000 ACM

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                • Published: 1 August 2000

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