Modeling a store's product space as a social network

Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009

Volumn , Issue , 2009, Pages 164-169

  Raeder, Troy ^a   Chawla, Nitesh V ^a  

^a University of Notre Dame   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNITY DETECTION; FLUENCES; FREQUENT ITEMSET MINING; MARKET BASKET; MARKET BASKET ANALYSIS; SOCIAL NETWORKS;

ASSOCIATIVE PROCESSING; ELECTRIC NETWORK ANALYSIS;

SALES;

EID: 70349838536     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASONAM.2009.53     Document Type: Conference Paper

References (18)

1. R. Agrawal and R. Srikant. Fast algorithms for mining asso- ciation rules in very large databases. In Proc. 20th Interna- tional Conference on VLDB, pages 487-499, 1994.
2. S. Asur, D. Ucar, and S. Parthasarathy. An ensemble frame- work for clustering protein-protein interaction networks. In ISMB/ECCB, pages 29-40, 2007.
3. V. D. Blondel, J.-L. Guillaume, R. Lambiotte, and E. Lefeb- vre. Fast unfolding of communities in large networks, 2008.
4. S. Chawla, B. Arunasalam, and J. Davis. Mining open source software (oss) data using association rules network. PAKDD, pages 461-466, 2003.
5. S. Chawla, J. Davis, and G. Pandey. On Local Pruning of Association Rules Using Directed Hypergraphs. 20th Inter- national Conference on Data Engeneering, 2004.
6. A. Clauset, M. Newman, and C. Moore. Finding community structure in very large networks. Phys. Rev. E, 70(066111), 2004.
7. K. Gouda and M. Zaki. Efficiently mining maximal frequent itemsets. In Proceedings of ICDM, pages 163-170. IEEE Computer Society, 2001.
8. M. Hao, U. Dayal, M. Hsu, T. Sprenger, and M. Gross. Visu- alization of directed associations in e-commerce transaction data. Proceedings of VisSym, 1:185-192, 2001.
9. J. Kleinberg and S. Lawrence. The structure of the web. Science, 294:1849-1850, 11 2001.
10. M. Klemettinen, H. Mannila, P. Ronkainen, H. Toivonen, and A. Verkamo. Finding interesting rules from large sets of discovered association rules. Proceedings of CIKM, pages 401-407, 1994.
11. C. Massen and J. Doye. Identifying communities within en- ergy landscapes. Physical Review E, 71(4):46101, 2005.
12. M. Newman. Finding community structure in networks using the eigenvectors of matrices. Physical Review E, 74(3):36104, 2006.
13. M. Newman and M. Girvan. Finding and evaluating community structure in networks. Phys. Rev. E, 69(2):26113, 2004.
14. C. Palmer and C. Faloutsos. Electricity Based External Sim- ilarity of Categorical Attributes. LNCS, pages 486-500, 2003.
15. G. Russell and A. Petersen. Analysis of cross category de- pendence in market basket selection. Journal of Retailing, 76(3):367-392, 2000.
16. K. Steinhaeuser and N. Chawla. Community detection in a large-scale real world social network. In LNCS. Springer Verlag, 2008.
17. P. Tan, V. Kumar, and J. Srivastava. Selecting the right objec- tive measure for association analysis. Information Systems, 29(4):293-313, 2004.
18. H. Xiong, P. Tan, and V. Kumar. Hyperclique pattern dis- covery. Data Mining and Knowledge Discovery, 13(2):219-242, 2006.