The mining and analysis continuum of explaining uncovered

Res. and Dev. in Intelligent Syst. XXVII: Incorporating Applications and Innovations in Intel. Sys. XVIII - AI 2010, 30th SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.

Volumn , Issue , 2011, Pages 273-278

  Atzmueller, Martin ^a   Roth Berghofer, Thomas ^b  

^a UNIVERSITY OF KASSEL   (Germany)

^b GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

USER ACCEPTANCE;

DATA MINING;

EID: 84881437110     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-0-85729-130-1_20     Document Type: Conference Paper

References (13)

1. Atzmueller, M., Haupt, F., Beer, S., Puppe, F.: Knowta: Wiki-Enabled Social Tagging for Collaborative Knowledge and Experience Management. In: Proc. Intl. Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS), vol. CEUR-WS 545 (2009.
2. Atzmueller, M., Lemmerich, F., Reutelshoefer, J., Puppe, F.: Wiki-Enabled Semantic Data Mining-Task Design, Evaluation and Refinement. In: Proc. Intl. Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS), vol. CEUR-WS 545 (2009.
3. Atzmüller, M., Roth-Berghofer, T.: Ready for the MACE? The Mining and Analysis Continuum of Explaining uncovered. Research Report RR-10-02, Deutsches Forschungszentrum für Künstliche Intelligenz (2010). ISSN 0946-008X.
4. Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C.,Wirth, R.: CRISPDM 1.0: Step-by-Step Data Mining Guide. CRISP-DM consortium: NCR Systems Engineering Copenhagen (USA and Denmark) DaimlerChrysler AG (Germany), SPSS Inc. (USA) and OHRA Verzekeringen en Bank Groep B.V (The Netherlands) (2000.
5. Clancey, W.J.: The Epistemology of a Rule-Based Expert System: A Framework for Explanation. Artificial Intelligence 20, 215-251 (1983.
6. Han, J., Kamber, M.: Data Mining: Concepts and Techniques, 2nd Edition. Morgan Kaufmann, San Francisco, USA (2006.
7. Kliegr, T., Ralbovsky, M., Svatek, V., Simunuk, M., Jurkovsky, V., Nerava, J., Zemanek, J.: Semantic Analytical Reports: A Framework for Post-processing Data Mining Results. In: ISMIS 2009: Foundations of Intelligent Systems, no. 5722 in LNAI, pp. 88-98. Berlin (2009.
8. Richter, M.M.: The knowledge contained in similarity measures. Invited Talk at the First International Conference on Case-Based Reasoning, ICCBR'95, Sesimbra, Portugal (1995.
9. Roth-Berghofer, T.R., Cassens, J.: Mapping goals and kinds of explanations to the knowledge containers of case-based reasoning systems. In: Case-Based Reasoning Research and Development, Proc. 6th Intl. Conf. on Case-Based Reasoning, no. 3620 in Lecture Notes in Artificial Intelligence LNAI, pp. 451-464. Springer Verlag, Heidelberg (2005.
10. Roth-Berghofer, T.R., Richter, M.M.: On explanation. Künstl. Intelligenz 22(2), 5-7 (2008.
11. Schank, R.C.: Explanation Patterns: Understanding Mechanically and Creatively. Lawrence Erlbaum Associates, Hillsdale, NJ (1986.
12. Sørmo, F., Cassens, J., Aamodt, A.: Explanation in case-based reasoning-perspectives and goals. Artificial Intelligence Review 24(2), 109-143 (2005.
13. Spieker, P.: Natürlichsprachliche Erklärungen in technischen Expertensystemen. Dissertation, University of Kaiserslautern (1991.