Number of co-authors:12
Number of publications with 3 favourite co-authors:Judith Gebauer:Soumitra Dutta:Michael J. Shaw:
Arie Segev's 3 most productive colleagues in number of publications:Michael J. Shaw:20J. Leon Zhao:20Judith Gebauer:13
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Publications by Arie Segev (bibliography)
Kim, Jin Baek and Segev, Arie (2003): Multi-component contingent auction (MCCA): a procurement mechanism for dynamic formation of supply networks. In: Sadeh, Norman M., Dively, Mary Jo, Kauffman, Robert J., Labrou, Yannis, Shehory, Onn, Telang, Rahul and Cranor, Lorrie Faith (eds.) Proceedings of the 5th International Conference on Electronic Commerce - ICEC 2003 September 30 - October 03, 2003, Pittsburgh, Pennsylvania, USA. pp. 78-86. Available online
Gebauer, Judith, Shaw, Michael J. and Segev, Arie (2002): Minitrack Introduction. In: HICSS 2002 2002. p. 164. Available online
Gebauer, Judith, Shaw, Michael J. and Segev, Arie (2001): Business to Business E-Commerce - Minitrack Introduction. In: HICSS 2001 2001. . Available online
Dutta, Soumitra and Segev, Arie (1999): Transforming Business in the Marketspace. In: HICSS 1999 1999. . Available online
Segev, Arie, Porra, Jaana and Roldan, Malu (1998): Intenet Security and the Case of Bank of America. In Communications of the ACM, 41 (10) pp. 81-87.
Bloch, Michael and Segev, Arie (1997): The Impact of Electronic Commerce on the Travel Industry. In: HICSS 1997 1997. pp. 48-58. Available online
Chatterjee, Abhirup, Segev, Arie and Chandra, Rakesh (1995): Modeling Time-Performance Trade-Offs in Federated Databases. In Journal of Organizational Computing, 5 (2) pp. 139-166.
One of the key roles played by information technology is to increase organizational productivity. However, an uncontrolled proliferation of heterogeneous DBMSs can affect the user in an adverse way. Query processing becomes a complicated problem in such an environment, as the same data item can have conflicting definitions and values in different databases. We introduce the Matching join for the heterogeneous environment where the tuples are compared of and joined if they match, where matching can be defined by the user's choice rules and weights. Matching joins are generally processing intensive and can interfere with the performance of the individual databases. The partitioning strategy introduced in this article can be used to reduce the query processing cost. This approach can also be applied to the general types of time-constrained queries.
© All rights reserved Chatterjee et al. and/or Ablex Publishing
Segev, Arie, Wan, Dadong and Beam, Carrie (1995): Electronic Catalogs: a Technology Overview and Survey Results. In: CIKM 95 - Proceedings of the 1995 International Conference on Information and Knowledge Management November 28 - December 2, 1995, Baltimore, Maryland, USA. pp. 11-18. Available online
Chatterjee, Abhirup and Segev, Arie (1994): Approximate Matchings in Scientific Databases. In: HICSS 1994 1994. pp. 448-458.
Segev, Arie and Zhao, J. Leon (1993): Efficient Maintenance of Rule-Derived Data through Join Pattern Indexing. In: Bhargava, Bharat K., Finin, Timothy W. and Yesha, Yelena (eds.) CIKM 93 - Proceedings of the Second International Conference on Information and Knowledge Management November 1-5, 1993, Washington, DC, USA. pp. 194-205. Available online
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