Classification for free

Proceedings of the International Conference on Internet Computing

Volumn 1, Issue , 2003, Pages 90-95

  Fu, Lixin ^a  

^a UNIVERSITY OF NORTH CAROLINA AT GREENSBORO   (United States)

Author keywords

Classification; Data cubes; Data mining; Statistics trees

Indexed keywords

ALGORITHMS; DATA MINING; DATA REDUCTION; DATA STRUCTURES; QUERY LANGUAGES; RELATIONAL DATABASE SYSTEMS;

DATA CLASSIFICATION; DATA CUBES; ONLINE ANALYTICAL PROCESSING; STATISTICS TREES;

WORLD WIDE WEB;

EID: 1842586763     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufman Publishers, 2001.
2. J. Gray, S. Chaudhuri, A. Bosworth, A. Layman, D. Reichart, M. Venkatrao, F. Pellow, and H. Pirahesh, Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals, Data Mining and Knowledge Discovery, 1(1): 29-53, 1997.
3. J. R. Quilan, Introduction of Decision Trees, in Machine Learning, vol. 1, pages 81-106, 1986.
4. J. R. Quilan, C4.5: Programs for Machine Learning, Morgan Kaufmann, 1993.
5. M. Mehta, R. Agrawal, and J. Rissanen, SLIQ: A Fast Scalable Classifier for Data Mining, in Advances in Database Technology - EDBT'96, 5th International Conference on Extending Database Technology, Avignon, France, March 25-29, 1996, Proceedings, vol. 1057, Lecture Notes in Computer Science, P. M. G. Apers, M. Bouzeghoub, G. Gardarin, Eds., Springer, pages 18-32, 1996.
6. J. Shafer, R. Agrawal, and M. Mehta, SPRINT: A Scalable Parallel Classifier for Data Mining, in VLDB'96, Proceedings of 22th International Conference on Very Large Data Bases, September 3-6, 1996, Mumbai (Bombay), India, T. M. Vijayaraman, A. P. Buchmann, C. Mohan, and N. L. Sarda, Eds., Morgan Kaufmann, pages 544-555, 1996.
7. J. Elder IV and D. Pregibon, A Statistical Perspective on Knowledge Discovery in Databases, in Advances in Knowledge Discovery and Data Mining, U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, Eds., AAAI/MIT Press, pages 83-115, 1996.
8. R. Duda and P. Hart, Pattern Classification and Scene Analysis. New York, John Wiley & Sons, 1973.
9. P. Cheeseman and J. Stutz, Classification (AutoClass): Theory and Results, in Advances in Knowledge Discovery and Data Mining, U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, Eds., AAAI/MIT Press, pages 153-180, 1996.
10. K. C. C. Chan and A. K. C. Wong, Statistical Technique for Extracting Classificatory Knowledge from Databases, in Knowledge Discovery in Databases, pages 107-124, 1991.
11. H. Lu, R. Setiono, and H. Liu, NeuroRule: A Connectionist Approach to Data Mining, in VLDB'95, Proceedings of 21th International Conference on Very Large Data Bases, September 11-15, 1995, Zurich, Switzerland, U. Dayal, P. M. D. Gray, and S. Nishio, Eds., Morgan Kaufmann, pages 478-489, 1995.
12. B. Lent, A. Swami, and J. Widom, Clustering Association Rules, in Proceedings of the Thirteenth International Conference on Database Engineering, Birmingham, U.K., pages 220-231, 1997.
13. S. Chaudhuri and U. Dayal, An Overview of Data Warehousing and OLAP Technology, SIGMOD Record, 26(1): 65-74, 1997.
14. Y. Zhao, P. M. Deshpande, and J. F. Naughton, An Array-Based Algorithm for Simultaneous Multidimensional Aggregates, SIGMOD Record, 26(2): 159-170, 1997.
15. K. Beyer and R. Ramakrishnan, Bottom-Up Computation of Sparse and Iceberg CUBEs, in Proceedings of the 1999 ACM SIGMOD International Conference on Management of Data (SIGMOD '99), S. B. Davidson and C. Faloutsos, Eds., Philadelphia, PA, pages 359-370, 1999.
16. T. Johnson and D. Shasha, Some Approaches to Index Design for Cube Forests, Bulletin of the Technical Committee on Data Engineering, IEEE Computer Society, 20(1): 27-35, 1997.
17. L. Fu and J. Hammer, CUBIST: A New Algorithm For Improving the Performance of Ad-hoc OLAP Queries, in ACM Third International Workshop on Data Warehousing and OLAP, Washington, D.C, USA, November, pages 72-79, 2000.
18. J. Hammer and L. Fu, Improving the Performance of OLAP Queries Using Families of Statistics Trees, in 3rd International Conference on Data Warehousing and Knowledge Discovery DaWaK 01, September, 2001, Munich, Germany, pages 274-283, 2001.
19. L. Fu, Processing Ad-hoc Cube Queries Over Sparse Data Efficiently and Interactively, in VLDB '03, Berlin, Germany (submitted), 2003.
20. S. J. Haberman, The Analysis of Residual in Cross-Classified Tables, Biometrics, 29: 205-220, 1973.