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Segmentation problems
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirtieth annual ACM symposium on Theory of computing table of contents
Dallas, Texas, United States
Pages: 473 - 482  
Year of Publication: 1998
ISBN:0-89791-962-9
Authors
Jon Kleinberg  Department of Computer Science, Cornell University, Ithaca, NY
Christos Papadimitriou  Computer Science Division, Soda Hall, UC Berkeley, CA
Prabhakar Raghavan  IBM Almaden Research Center, 650 Harry Road, San Jose, CA
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 45,   Citation Count: 23
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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M. Avriel. NonlinearProgramming: Analysis and Methods. Prentice-HaU, 1976.
 
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O. Berman, M.J. Hodgson, D. Krass. "Flow-interception problems" in Facility Location: A Survey of Applications and Methods, Z. Drezner, Ed., Springer 1995.
 
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M. J. Berry, G. Linoff. Data Mining Techniques. John- Wiley, 1997.
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J.M. Coggins. "Dissimilarity measures for clustering strings" in 7~me B~trps, String Edits, and Macromolecules: The Theory attd Practice of Sequence Comparison, D. Sankoff and J.S.B. Kruskal, Eds., Addison- Wesley, 1983.
 
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G. Comuejols, M. Fisher, G. Nemhauser. "Location of Bank Accounts to Optimize Float,' Management Science, 23(1977), pp. 789-810.
 
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G. B. Dantzig. Linear programming and Extensions. Princeton Unix: Press, 1963.
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T. Gonzalez. "Clustering to minimize the maximum inter-cluster distance, Theoretical Computer Science, 38(1985), pp. 293-306.
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M. Kearns, Y. Mansour, A. Ng. '~n informationtheoretic analysis of hard and soft assignment methods for clustering,' Proc. 13th Conference on Uncertainty in Artificial InteUigence, 1997.
 
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B. Liu and W. Hsu. "Post-analysis of learned roles" Proc. AAM, pp. 828-834, 1996.
 
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B.M. Masand and G. Piatetsky-Shapiro."A comparison of approaches for maximizing business payoff of prediction models". Proc. Knowledge Discovery and Data Mining, 195-201, 1996.
 
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G. Nemhauser, L. Wolse3; M. Fisher. '%n analysis of the approximations for maximizing submodular set functions;' Mathematical Programming, 14(1978), pp. 265-294.
 
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O. Piatetsky-Schapiro, C. J. Matheus. "The interestingness of deviations;' Proc. Knowledge Discover), attd Data Mining,, pp. 25-36, 1994.
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P. Smyth, R. M. Goodman. "Rule induction using information theory" Proc. Knowledge Discovery andData Mining, 1991.

CITED BY  23

Collaborative Colleagues:
Jon Kleinberg: colleagues
Christos Papadimitriou: colleagues
Prabhakar Raghavan: colleagues