Building a privacy-preserving benchmarking enterprise system

Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOC

Volumn , Issue , 2007, Pages 87-96

  Kerschbaum, Florian ^a  

^a SAP RESEARCH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; CLUSTERING ALGORITHMS; COMPETITION; COMPUTER NETWORKS; FORMING; SYSTEMS ENGINEERING;

BASIC BUILDING BLOCKS; BENCHMARKING SERVICES; BENCHMARKING SYSTEMS; BUSINESS METRICS; BUSINESS WORLDS; CLUSTER SIZES; DATA CLUSTERING; DATA CLUSTERING ALGORITHMS; ENTERPRISE SYSTEMS; FINAL APPROACHES; K-MEANS CLUSTERING; KEY PERFORMANCE INDICATORS; NETWORK PERFORMANCES; PAPER ADDRESSES; PEER GROUPS; POLLING INTERVALS; SECURE MULTIPARTY COMPUTATIONS; SENSITIVE INFORMATIONS;

CLUSTER ANALYSIS;

EID: 47949114798     PISSN: 15417719     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EDOC.2007.4383984     Document Type: Conference Paper

References (14)

1. M. Atallah, M. Bykova, J. Li, K. Frikken, and M. Topkara. Private Collaborative Forecasting and Benchmarking. Proceedings of the ACM Workshop on Privacy in the Electronic Society, 2004.
2. A. Banerjee, and J. Ghosh. Frequency Sensitive Competitive Learning for Clustering on High-Dimensional Hyperspheres. Proceedings International Joint Conference on Neural Networks, 2002.
3. K. Bennett, P. Bradley, and A. Demiriz. Constrained K-Means Clustering. Microsoft Technical Report, 2000.
4. P. Bogetoft, I. Damgard, T. Jakobsen, K. Nielsen, J. Pagter, and T. Toft Secure Computing, Economy, and Trust: A Generic Solution for Secure Auctions with Real-World Applications. BRICS Report Series RS-05-18, 2005.
5. P. Bogetoft, and K. Nielsen. Internet Based Benchmarking. Group Decision and Negotiation 14(3), 2005.
6. J. Crotts, B. Pan, and C. Dimitry. Hospitality Performance Index: A Case Study of Developing an Internet-based Competetive Analysis and Benchmarking Tool for Hospitality Industry. Proceedings of Conference of Travel and Tourism Research Association, 2006.
7. A. Jain, M. Murty, and P. Flynn. Data Clustering: A Review. ACM Computing Surveys 31(3), 1999.
8. J. Jonas. Advanced Analytics in the Anonymized Data Space. Available at http://jeffjonas.typepad.com/jeff_jonas/2006/03/index.html, 2006.
9. F. Kerschbaum. A Privacy-Preserving Benchmarking Platform. Technical Report, 2006.
10. F. Kerschbaum, and O. Terzidis. Filtering for Private Collaborative Benchmarking. Proceedings of the International Conference on Emerging Trends in Information and Communication Security, 2006.
11. J. MacQueen. Some Methods for classification and Analysis of Multivariate Observations. Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, 1967.
12. T. O'Reilly. What is Web 2.0. Available at http://tim.oreilly.com/ news/2005/09/30Avhat-is-web-20.html, 2005.
13. G. Udo. Privacy and security concerns as major barriers for e-commerce: a survey study. Information Management & Computer Security 9(4), 2001.
14. K. Wagstaff, C. Cardie, S. Rogers, and S. Schroedl. Constrained K-means Clustering with Background Knowledge. Proceedings of the 18th International Conference on Machine Learning, 2001.