Mining value-based item packages - An integer programming approach

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

Volumn 3755 LNAI, Issue , 2006, Pages 78-89

  Achuthan, N R ^a   Gopalan, Raj P ^a   Rudra, Amit ^a  

^a CURTIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; INTEGER PROGRAMMING; LINEAR PROGRAMMING; OPTIMIZATION; PROBLEM SOLVING; SOCIETIES AND INSTITUTIONS;

ITEM PACKAGES; TRANSACTION DATA;

DATA MINING;

EID: 37149000870     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11677437_7     Document Type: Conference Paper

References (19)

1. Kleinberg, J., Papadimitriou, C., Raghavan, P.: A Microeconomic View of Data Mining. Data Mining and Knowledge Discovery. Vol. 2 (1998) 311-324
2. Brijs, T., Swinnen, G., Vanhoof, K, Wets, G.: Building an Association Rules Framework to Improve Product Assortment Decisions. Data Mining and Knowledge Discovery. Vol. 8 (2004) 7-23
3. Gopalan, R.P., Sucahyo, Y.G.: High Performance Frequent Patterns Extraction using Compressed FP-Tree. Proceedings of SIAM International Workshop on High Performance and Distributed Mining (HPDM04), Orlando, USA (2004)
4. Han, J., Pei, J., Yin, Y.: Mining Frequent Patterns without Candidate Generation. Proceedings of ACM SIGMOD, Dallas, TX (2000)
5. Liu, J., Pan, Y., Wang, K., Han, J.: Mining Frequent Item Sets by Opportunistic Projection. Proceedings of ACM SIGKDD, Edmonton, Alberta, Canada (2002)
6. Ali, K., Manganaris, S., Srikant, R.: Partial Classification using Association Rules. Proceedings of KDD-97, Newport Beach, California (1997)
7. Viveros, M.S., Nearhos, J.P., Rothman, M.J.: Applying Data Mining Techniques to a Health Insurance Information System. Proceedings of VLDB-96, Bombay, India, (1996)
8. Demiriz, A., Bennett, K.P.: Optimization Approaches to Semi-Supervised Learning. In Complementarity: Applications, Algorithms and Extensions. Kluwer Academic Publishers, Boston (2001) 121-141
9. Bradley, P., Gehrke, J., Ramakrishnan, R., Srikant, R.: Scaling Mining Algorithms to Large Databases. Communications of the ACM. Vol. 45 (2002) 38-43
10. Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R.: Advances in Knowledge Discovery and Data Mining. MIT Press, Cambridge, MA (1996)
11. Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, San Francisco (2001)
12. Hand, D., Mannila, H., Smyth, P.: Principles of Data Mining. MIT Press, Cambridge, MA (2001)
13. Achuthan, N.R., Caccetta, L., Hill, S.P.: A New Subtour Elimination Constraint for the Vehicle Routing Problem. E.J.O.R. Vol. 91 (1996) 573-586
14. Achuthan, N.R., Caccetta, L., Hill, S.P.: Capacitated Vehicle Routing Problem: Some New Cutting Planes. Asia-Pacific Journal of Operational Research. Vol. 15 (1998) 109-123
15. Achuthan, N.R., Caccetta, L., Hill, S.P.: An Improved Branch and Cut Algorithm for the Capacitated Vehicle Routing Problem. Transportation Science. Vol. 37 (2003) 153-169
16. Brijs T., Swinnen G., Vanhoof K., and Wets G. The Use of Association Rules for Product Assortment Decisions: A Case Study, in: Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining, San Diego (USA), August 15-18, (1999) 254-260
17. Webb, G. Discovering Associations with Numeric Variables. Proceedings of the Knowledge Discovery in Databases (KDD 01), San Francisco (USA), (2001) 383-388.
18. Aumann, Y., Lindell, Y. A Statistical Theory for Quantitative Association Rules. Proceedings of the Knowledge Discovery in Databases (KDD 99), San Francisco (USA), (1999) 262-270
19. Marakas, G. M. Modern Data Warehousing, Mining and Visualization. Prentice Hall, Upper Saddle River, New Jersey (USA). (2003).