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Christoph F. Eick
Christoph F. Eick
Associate Professor of Computer Science, University of Houston
Verified email at uh.edu - Homepage
Title
Cited by
Cited by
Year
Supervised clustering-algorithms and benefits
CF Eick, N Zeidat, Z Zhao
16Th IEEE international conference on tools with artificial intelligence …, 2004
2272004
Finding regional co-location patterns for sets of continuous variables in spatial datasets
CF Eick, R Parmar, W Ding, TF Stepinski, JP Nicot
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances …, 2008
992008
Supporting polyploidy in genetic algorithms using dominance vectors
BS Hadad, CF Eick
Evolutionary Programming VI: 6th International Conference, EP97 Indianapolis …, 1997
891997
A framework for regional association rule mining in spatial datasets
W Ding, CF Eick, J Wang, X Yuan
Sixth International Conference on Data Mining (ICDM'06), 851-856, 2006
632006
MOSAIC: A proximity graph approach for agglomerative clustering
J Choo, R Jiamthapthaksin, C Chen, OU Celepcikay, C Giusti, CF Eick
Data Warehousing and Knowledge Discovery: 9th International Conference …, 2007
502007
A Methodology for the Design and Transformation of Conceptual Schemas.
CF Eick
VLDB 91, 25-34, 1991
501991
Using representative-based clustering for nearest neighbor dataset editing
CF Eick, N Zeidat, R Vilalta
Fourth IEEE International Conference on Data Mining (ICDM'04), 375-378, 2004
492004
Visualizing the evolution of genetic algorithm search processes
WB Shine, CF Eick
Proceedings of 1997 IEEE International Conference on Evolutionary …, 1997
491997
Discovery of interesting regions in spatial data sets using supervised clustering
CF Eick, B Vaezian, D Jiang, J Wang
Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on …, 2006
482006
Acquisition of terminological knowledge using database design techniques
CF Eick, PC Lockemann
ACM SIGMOD Record 14 (4), 84-94, 1985
481985
Class decomposition via clustering: a new framework for low-variance classifiers
R Vilalta, MK Achari, CF Eick
Third IEEE International Conference on Data Mining, 673-676, 2003
472003
A framework for regional association rule mining and scoping in spatial datasets
W Ding, CF Eick, X Yuan, J Wang, JP Nicot
Geoinformatica 15, 1-28, 2011
452011
Towards region discovery in spatial datasets
W Ding, R Jiamthapthaksin, R Parmar, D Jiang, TF Stepinski, CF Eick
Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia …, 2008
392008
Using clustering to learn distance functions for supervised similarity assessment
CF Eick, A Rouhana, A Bagherjeiran, R Vilalta
Engineering Applications of Artificial Intelligence 19 (4), 395-401, 2006
362006
MASSON: discovering commonalities in collection of objects using genetic programming
TW Ryu, CF Eick
Proceedings of the 1st annual conference on genetic programming, 200-208, 1996
351996
A database clustering methodology and tool
TW Ryu, CF Eick
Information Sciences 171 (1-3), 29-59, 2005
342005
Integrating sets, rules, and data in an object-oriented environment
B Czejdo, CF Eick, M Taylor
IEEE Expert 8 (1), 59-66, 1993
331993
Analyzing the composition of cities using spatial clustering
Z Cao, S Wang, G Forestier, A Puissant, CF Eick
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, 1-8, 2013
322013
Adaptive clustering: Obtaining better clusters using feedback and past experience
A Bagherjeiran, CF Eick, CS Chen, R Vilalta
Fifth IEEE international conference on data mining (ICDM'05), 4 pp., 2005
312005
From natural language requirements to good data base definitions—a data base design methodology
CF Eick
1984 IEEE First International Conference on Data Engineering, 324-331, 1984
301984
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