VisAR: A new technique for visualizing mined association rules

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3584 LNAI, Issue , 2005, Pages 88-95

  Techapichetvanich, Kesaraporn ^a   Datta, Amitava ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Association Rules; Market Basket; Visual Exploration; Visualization

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; DATABASE SYSTEMS; TOOLS; VISUALIZATION;

ASSOCIATION RULES; AUTOMATED SYSTEMS; MARKET BASKET; OCCLUSION; SCREEN CLUTTER; VISUAL EXPLORATION;

DATA MINING;

EID: 26944476978     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527503_12     Document Type: Conference Paper

References (14)

1. Ong, K.H., Ong, K.L., Ng, W.K., Lim, E.P.: Crystalclear. Active visualization of association rules. In: International Workshop on Active Mining (AM-2002), in conjunction with IEEE International Conference On Data Mining. (2002)
2. Hofmann, H., Siebes, A.P.J.M., Wilhelm, A.F.X.: Visualizing association rules with interactive mosaic plots. In: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, ACM Press (2000) 227-235
3. Wong, P.C., Whitney, P., Thomas, J.: Visualizing association rules for text mining. In: INFOVIS. (1999) 120-123
4. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: Proceedings of the 20th International Conference on Very Large Data Bases, Morgan Kaufmann Publishers Inc. (1994) 487-499
5. Han, J., Kamber, M.: Data Mining Concepts and Techniques. Morgan Kaufmann (2001)
6. Savasere, A., Omiecinski, E., Navathe, S.B.: An efficient algorithm for mining association rules in large databases. In: Proceedings of the 21th International Conference on Very Large Data Bases, Morgan Kaufmann Publishers Inc. (1995) 432-444
7. (http://www.sas.com/technologies/analytics/datamining/miner/, S.I.I.)
8. (http.//www.sgi.com/software/mineset.html, S.)
9. Zhao, K., Liu, B.: Visual analysis of the behavior of discovered rules. In: Workshop Notes in ACM SIGKDD-2001 Workshop on Visual Data Mining. (2001)
10. Techapichetvanich, K., Datta, A.: Visual mining of market basket association rules. In: Computational Science and Its Applications - ICCSA 2004, International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part IV. Volume 3046 of Lecture Notes in Computer Science., Springer (2004) 479-488
11. Inselberg, A., Dimsdale, B.: Parallel coordinates for visualizing multidimensional geometry. Computer Graphics (Proceedings of CG International) (1987) 25-44
12. Techapichetvanich, K., Datta, A., Owens, R.: Hddv: Hierarchical dynamic dimensional visualization. In: Proc. IASTED International Conference on Databases and Applications. (2004) 157-162
13. Foley, J.D., van Dam, A., Feiner, S.K., Hughes, J.F.: Computer Graphics: Principles and Practice Second edition in C. Addison Wesley (1997)
14. Liu, B., Hsu, W., Ma, Y.: Integrating classification and association rule mining. In: Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining. (1998) 80-86