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Christoph F. Eick: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Christoph F. Eick, Peter C. Lockemann
    Acquisition of Terminological Knowledge Using Database Design Techniques. [Citation Graph (5, 9)][DBLP]
    SIGMOD Conference, 1985, pp:84-94 [Conf]
  2. Christoph F. Eick
    A Methodology for the Design and Transformation of Conceptual Schemas. [Citation Graph (4, 9)][DBLP]
    VLDB, 1991, pp:25-34 [Conf]
  3. Christoph F. Eick, Thomas Raupp
    Toward a Formal Semantics and Inference Rules for Conceptual Data Models. [Citation Graph (3, 0)][DBLP]
    Data Knowl. Eng., 1991, v:6, n:, pp:297-317 [Journal]
  4. Christoph F. Eick
    From Natural Language Requirements to good Data Base Definitions - A Data Base Design Methodology. [Citation Graph (2, 2)][DBLP]
    ICDE, 1984, pp:324-331 [Conf]
  5. Christoph F. Eick, R. Kochhar, S. Kumar
    DALI - a Knowledge Base Management System. [Citation Graph (1, 0)][DBLP]
    IEA/AIE (Vol. 2), 1988, pp:837-846 [Conf]
  6. Christoph F. Eick
    Integrating Variables and Operations into Rule-Based Forward Chaining Systems. [Citation Graph (1, 0)][DBLP]
    ISMIS, 1991, pp:52-61 [Conf]
  7. Christoph F. Eick, Daw Jong
    Learning Bayesian Classification Rules through Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    CIKM, 1993, pp:305-313 [Conf]
  8. Bogdan D. Czejdo, Christoph F. Eick, Malcolm C. Taylor
    TANGUY: Integrating Database, Rule-based and Object-Oriented Paradigms. [Citation Graph (0, 12)][DBLP]
    DASFAA, 1991, pp:339-346 [Conf]
  9. Christoph F. Eick, Peter Raulefs
    Problem Solving by Hyper Planning. [Citation Graph (0, 0)][DBLP]
    AISB/GI (ECAI), 1978, pp:103-104 [Conf]
  10. Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick
    Piece-Wise Model Fitting Using Local Data Patterns. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:559-563 [Conf]
  11. Ben S. Hadad, Christoph F. Eick
    Supporting Polyploidy in Genetic Algorithms Using Dominance Vectors. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1997, pp:223-234 [Conf]
  12. Yeong-Joon Kim, Christoph F. Eick
    Multi-rule-set Decision-making Schemes for a Genetic Algorithm Learning Environment for Classification Tasks. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1995, pp:773-788 [Conf]
  13. Clifton Davis, Christoph F. Eick
    Using Offset Invariant Crossover as a Tool for Discovering Cycle Lengths of a Periodic Function. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1998, pp:789-798 [Conf]
  14. Nidal M. Zeidat, Christoph F. Eick
    K-medoid-style Clustering Algorithms for Supervised Summary Generation. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2004, pp:932-938 [Conf]
  15. Bogdan D. Czejdo, Christoph F. Eick
    Rules in an Extended C++. [Citation Graph (0, 0)][DBLP]
    ICCI, 1992, pp:365-368 [Conf]
  16. Tae-Wan Ryu, Christoph F. Eick
    A Systematic Database Summary Generation Using the Distributed Query Discovery System. [Citation Graph (0, 0)][DBLP]
    ICCSA (4), 2004, pp:185-195 [Conf]
  17. Abraham Bagherjeiran, Christoph F. Eick, Chun-Sheng Chen, Ricardo Vilalta
    Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:565-568 [Conf]
  18. Christoph F. Eick, Nidal M. Zeidat, Ricardo Vilalta
    Using Representative-Based Clustering for Nearest Neighbor Dataset Editing. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:375-378 [Conf]
  19. Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick
    Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:673-676 [Conf]
  20. Wei Ding, Christoph F. Eick, Jing Wang, Xiaojing Yuan
    A Framework for Regional Association Rule Mining in Spatial Datasets. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:851-856 [Conf]
  21. Xiaoyong Li, Christoph F. Eick
    Fast Decision Tree Learning Algorithms for Microarray Data Collections. [Citation Graph (0, 0)][DBLP]
    ICMLA, 2003, pp:37-43 [Conf]
  22. Christoph F. Eick, Jia-Lin Liu, Paul Werstein
    Integration of Rules into a Knowledge Base Management System. [Citation Graph (0, 0)][DBLP]
    ICSI, 1990, pp:86-95 [Conf]
  23. Abraham Bagherjeiran, Ricardo Vilalta, Christoph F. Eick
    Content-Based Image Retrieval through a Multi-Agent Meta-Learning Framework. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2005, pp:24-28 [Conf]
  24. Clifton Davis, Christoph F. Eick
    A heuristic search based factoring tool. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2000, pp:298-0 [Conf]
  25. Christoph F. Eick, Yeong-Joon Kim, Nicola Secomandi
    Enhancing Diversity for a Genetic Algorithm Learning Environment for Classfication Tasks. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1994, pp:820-823 [Conf]
  26. Christoph F. Eick, Nidal M. Zeidat, Zhenghong Zhao
    Supervised Clustering - Algorithms and Benefits. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2004, pp:774-776 [Conf]
  27. Sharon M. Tuttle, Christoph F. Eick
    Suggesting Causes of Faults in Data-Driven Rule-Based Systems. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1992, pp:413-417 [Conf]
  28. Bogdan D. Czejdo, Bill P. Buckles, L. Smith, Christoph F. Eick
    An Adaptive Browsing System Based on Rules for Object-Oriented Databases. [Citation Graph (0, 0)][DBLP]
    IFIP Congress (1), 1994, pp:121-126 [Conf]
  29. Christoph F. Eick, Ema Toto
    Evaluation and Enhancement of Bayesian Rule-Sets in a Genetic Algorithm Learning Environment for Classification Tasks. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1994, pp:366-375 [Conf]
  30. Christoph F. Eick, Nidal M. Zeidat
    Using Supervised Clustering to Enhance Classifiers. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:248-256 [Conf]
  31. Ben S. Hadad, Christoph F. Eick
    Using Recurrent Selection to Improve GA Performance. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1997, pp:247-256 [Conf]
  32. Tae-Wan Ryu, Christoph F. Eick
    Deriving Queries from Results Using Genetic Programming. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:303-306 [Conf]
  33. Christoph F. Eick, Alain Rouhana, Abraham Bagherjeiran, Ricardo Vilalta
    Using Clustering to Learn Distance Functions for Supervised Similarity Assessment. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:120-131 [Conf]
  34. Christoph F. Eick, Banafsheh Vaezian, Dan Jiang, Jing Wang
    Discovery of Interesting Regions in Spatial Data Sets Using Supervised Clustering. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:127-138 [Conf]
  35. Clifton Davis, Christoph F. Eick
    Emperor: Cheap Legal Secure Cryptography for the Web. [Citation Graph (0, 0)][DBLP]
    SAC, 1999, pp:603-609 [Conf]
  36. Iliano Cervesato, Christoph F. Eick
    Expression and Enforcement of Dynamic Integrity Constraints. [Citation Graph (0, 0)][DBLP]
    SEBD, 1993, pp:283-298 [Conf]
  37. Bogdan D. Czejdo, Christoph F. Eick, Malcolm C. Taylor
    Integrating Sets, Rules, and Data in an Object-Oriented Environment. [Citation Graph (0, 0)][DBLP]
    IEEE Expert, 1993, v:8, n:1, pp:59-66 [Journal]
  38. Tae-Wan Ryu, Christoph F. Eick
    A database clustering methodology and tool. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2005, v:171, n:1-3, pp:29-59 [Journal]
  39. Christoph F. Eick, Paul Werstein
    Rule-Based Consistency Enforcement for Knowledge-Based Systems. [Citation Graph (0, 27)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1993, v:5, n:1, pp:52-64 [Journal]
  40. Jiyeon Choo, Rachsuda Jiamthapthaksin, Chun-Sheng Chen, Oner Ulvi Celepcikay, Christian Giusti, Christoph F. Eick
    MOSAIC: A Proximity Graph Approach for Agglomerative Clustering. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2007, pp:231-240 [Conf]

  41. A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining. [Citation Graph (, )][DBLP]


  42. Discovering controlling factors of geospatial variables. [Citation Graph (, )][DBLP]


  43. On supervised density estimation techniques and their application to spatial data mining. [Citation Graph (, )][DBLP]


  44. Finding regional co-location patterns for sets of continuous variables in spatial datasets. [Citation Graph (, )][DBLP]


  45. REG^2: a regional regression framework for geo-referenced datasets. [Citation Graph (, )][DBLP]


  46. On Regional Association Rule Scoping. [Citation Graph (, )][DBLP]


  47. Regional Pattern Discovery in Geo-referenced Datasets Using PCA. [Citation Graph (, )][DBLP]


  48. Towards Region Discovery in Spatial Datasets. [Citation Graph (, )][DBLP]


  49. Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions. [Citation Graph (, )][DBLP]


  50. Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets. [Citation Graph (, )][DBLP]


  51. An architecture and algorithms for multi-run clustering. [Citation Graph (, )][DBLP]


  52. Analyzing change in spatial data by utilizing polygon models. [Citation Graph (, )][DBLP]


  53. Activation pattern controlled rules: Towards an integration of data-driven and command-driven programming. [Citation Graph (, )][DBLP]


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