A multiple correspondence analysis to organize data cubes

Frontiers in Artificial Intelligence and Applications

Volumn 155, Issue , 2007, Pages 133-146

  Ben Messaoud, Riadh ^a   Boussaid, Omar ^a   Loudcher Rabaséda, Sabine ^a  

^a UNIVERSITÉ LUMIÈRE LYON 2   (France)

Author keywords

Arrangement of attributes; Characteristic attributes; Data cubes; Data representation; Homogeneity criterion; MCA; OLAP; Test values

Indexed keywords

GEOMETRY;

ARRANGEMENT OF ATTRIBUTE; CHARACTERISTIC ATTRIBUTE; DATA CUBE; DATA REPRESENTATIONS; HOMOGENEITY CRITERIA; MULTIPLE CORRESPONDENCE ANALYSIS; ON-LINE ANALYTICAL PROCESSING; SIMPLE++; SPARSE DATA; TEST-VALUE;

DATA VISUALIZATION;

EID: 85013424463     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (24)

1. W. H. Inmon. Building the Data Warehouse. John Wiley & Sons, 1996.
2. R. Kimball. The Data Warehouse Toolkit. John Wiley & Sons, 1996.
3. S. Chaudhuri and U. Dayal. An Overview of Data Warehousing and OLAP Technology. SIGMOD Record, 26(1):65-74, 1997.
4. th International Baltic Conference on Databases and Information Systems (DB&IS'2006), pages 98-105, Vilnius, Lithuania, July 2006. IEEE Communications Society.
5. th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2006), pages 662-667, Philadelphia, PA, USA, August 2006. ACM Press.
6. J.P. Benzecri. Correspondence Analysis Handbook. Marcel Dekker, hardcover edition, January 1992.
7. rd edition, 2000.
8. th ACM International Conference on Information and Knowledge Management (CIKM'2005), pages 341-342, Bremen, Germany, October - November 2005. ACM Press.
9. J. S. Vitter and M. Wang. Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets. In ACM SIGMOD International Conference on Management of Data (SIGMOD 1999), pages 193-204, Philadelphia, Pennsylvania, U.S.A., June 1999. ACM Press.
10. D. Barbará and M. Sullivan. Quasi-Cubes: Exploiting Approximations in Multidimensional Databases. SIGMOD Record, 26(3):12-17, 1997.
11. th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 1999), pages 223-232, San Diego, California, U.S.A., August 1999.
12. Y. Sismanis, A. Deligiannakis, N. Roussopoulos, and Y. Kotidis. Dwarf: Shrinking the PetaCube. In ACM SIGMOD International Conference on Management of Data (SIGMOD 2002), pages 464-475, Madison, Wisconsin, U.S.A., 2002.
13. th IEEE International Conference on Data Engineering (ICDE 2002), pages 155-165, San Jose, California, U.S.A., February-March 2002.
14. th ACM International Workshop on Data warehousing and OLAP (DOLAP 2004), pages 38-47, Washington D.C., U.S.A., November 2004.
15. th International Conference of Very Large Data Bases (VLDB 2002), Hong Kong, China, August 2002.
16. L. V.S. Lakshmanan, J. Pei, and Y. Zhao. QC-Trees: An Efficient Summary Structure for Semantic OLAP. In ACM Press, editor, ACM SIGMOD International Conference on Management of Data (SIGMOD 2003), pages 64-75, San Diego, California, U.S.A., 2003.
17. th International Conference on Data Engineering (ICDE 2004), pages 658-670, Boston, Massachusetts, U.S.A., March-April 2004.
18. rd International Conference on Very Large Data Bases (VLDB 1997), pages 116-125, Athens, Greece, August 1997.
19. th International Conference on Very Large Data Bases (VLDB 2004), pages 528-539, Toronto, Canada, August 2004.
20. Y. W. Choong, D. Laurent, and P. Marcel. Computing Appropriate Representations for Multidimensional Data. Data & knowledge Engineering Journal, 45(2):181-203, 2003.
21. R.B. Cattell. The Scree Test for the Number of Fators. Multivariate Behavioral Research, 1:245-276, 1966.
22. H.F. Kaiser. A Note on Guttman's Lower Bound for the Number of Common Factors. Brit. J. Statist. Psychol., 14:1-2, 1961.
23. E. Malinvaud. Data Analysis in Applied Socio-Economic Statistics with Special Consideration of Correspondence Analysis. In Marketing Science Conference, Jouy en Josas, France, 1987.
24. B. Escofier and B. Leroux. Etude de Trois Problèmes de Stabilité en Analyse Factorielle. Publication de l'Institut Statistique de l'Université de Paris, 11:1-48, 1972.