Urban Data Mining using emergent SOM

Studies in Classification, Data Analysis, and Knowledge Organization

Volumn , Issue , 2008, Pages 311-318

  Behnisch, Martin ^a   Ultsch, Alfred ^b  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b PHILIPPS UNIVERSITY MARBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; MACHINE LEARNING;

EMPIRICAL EXAMINATION; HIGH DIMENSIONAL DATA; KNOWLEDGE CONVERSION; KNOWLEDGE DISCOVERY SYSTEMS; KNOWLEDGE DISCOVERY TECHNIQUES; METHODOLOGICAL APPROACH; OBJECTIVE CRITERIA; PLANNING AND DEVELOPMENT;

DATA MINING;

EID: 84879576174     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-78246-9_37     Document Type: Conference Paper

References (11)

1. BEHNISCH, M. (2007): Urban Data Mining. Doctoral thesis, Karlsruhe (TH).
2. DEMSAR, U. (2006): Data Mining of geospatial data: combining visual and automatic methods. Urban Planning Department, KTH Stockholm.
3. HAND, D. and MANNILA, H. (2001): Principles of Data Mining. MIT Press.
4. KASKI et al. (1999): Analysis and Visualization of Gene Expression Data using Self Organizing Maps, Proc NSIP.
5. KOHONEN, T. (1982): Self-Organizing formation of topologically correct feature maps. Biological Cybernetics 43, 59-69.
6. RIPLEY, B. (1996): Pattern Recognition and Neural Networks. Cambridge Press.
7. STREICH, B. (2005, S. 193 ff.): Stadtplanung in der Wissensgesellschaft - Ein Handbuch. VS Verlag für Sozialwissenschaften, Wiesbaden.
8. ULTSCH, A. (1999): Data Mining and Knowledge Discovery with Emergent Self Organizing Feature Maps for Multivariate Time Series, In: Oja, E., Kaski, S. (Eds.): Kohonen Maps, pp. 33-46, Elsevier, Amsterdam.
9. ULTSCH, A. (2003): Pareto Density Estimation: A Density Estimation for Knowledge Discovery, Baier D., Wernecke K.D. (Eds), In Innovations in Classification, Data Science, and Information Systems - Proceedings 27th Annual Conference of the German Classification Society, Berlin, Heidelberg, Springer, pp. 91-100
10. ULTSCH, A. (2005): U*C Self-organized Clustering with Emergent Feature Map, In Prooceedings Lernen, Wissensentdeckung und Adaptivität (LWA/FGML 2005), Saarbrücken, Germany, pp. 240-246
11. ULTSCH, A (2007): Mining for Understandable Knowledge. Submitted.