Visual exploration of classification models for various data types in risk assessment

Information Visualization

Volumn 11, Issue 3, 2012, Pages 237-251

  Migut, Malgorzata ^a   Worring, Marcel ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

classification; decision boundary visualization; interactive visual exploration; multi dimensional space; Visual analytics

Indexed keywords

CLASSIFICATION MODELS; CLASSIFICATION RESULTS; CRITICAL DATA; DATA ELEMENTS; DATA TYPE; DECISION BOUNDARY; DECISION MAKERS; DECISION MAKING PROCESS; MULTI-DIMENSIONAL SPACE; MULTIDIMENSIONAL DATA; ORDINAL DATA; PERFORMANCE CURVE; VISUAL ANALYTICS; VISUAL ELEMENTS; VISUAL EXPLORATION;

CLASSIFICATION (OF INFORMATION); COSTS; RISK ASSESSMENT; VISUALIZATION;

DATA VISUALIZATION;

EID: 84871769491     PISSN: 14738716     EISSN: 14738724     Source Type: Journal    
DOI: 10.1177/1473871611433715     Document Type: Conference Paper

References (35)

1. Keim D, Mansmann F, Schneidewind J, et al. Visual analytics: scope and challenges. Lect Notes Comput Sci. 2008 ; 4404: 76-90
2. Thomas JJ, Cook KA Illuminating the path: the research and development agenda for visual analytics. Los Alamitos, CA: IEEE CS Press ; 2005 :
3. Fuchs R, Waser J, Gröller ME. Visual human + machine learning. IEEE Trans Visual Comput Graphics. 2009 ; 15 (6). 1327-1334
4. Bendix F, Kosara R, Hauser H.. Parallel sets: visual analysis of categorical data. INFOVIS '05: proceedings of the IEEE symposium on information visualization ; Minneapolis, MN, 23-25 October 2005.
5. Collins C, Carpendale S. VisLink: revealing relationships amongst visualizations. IEEE Trans Visual Comput Graphics. 2007 ; 13 (6). 1192-1199
6. Duda RO, Hart PE, Stork DG Pattern classification. New York: Wiley-Interscience Publication ; 2000 :
7. Ware C Visual thinking for design. Burlington, MA: Morgan Kaufmann Publishers ; 2008 :
8. Yu C, Zhong Y, Smith T, et al. Visual data mining of multimedia data for social and behavioral studies. Inform Visual. 2009 ; 8 (1). 56-70
9. Ankerst M, Kao A, Tjoelker R, et al. DataJewel: integrating visualization with temporal data mining. Lect Notes Comput Sci. 4404: 312-330
10. Poulet F Towards effective visual data mining with cooperative tools. In Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Simeon Simoff, Mihael Boehlen, Arturas Mazeikas (eds.), Vol 4404, pp. 389-406, Lecture Notes in Computer Science, Springer-Verlag, 2008.
11. Ankerst M, Ester M, Kriegel HP. Towards an effective cooperation of the user and the computer for classification. Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '00) ; ACM, New York, NY, USA, pp. 179-188.
12. Van Den Elzen S, Van Wijk JJ. Baobab view: interactive construction and analysis of decision trees. Proceedings of the IEEE symposium on visual analytics science and technology (IEEE VAST) ; Providence, RI, 23-28 October 2011.
13. Migut MA, Worring M. Visual exploration of classification models for risk assessment. Proceedings of the IEEE symposium on visual analytics science and technology (IEEE VAST) ; Salt Lake City, UT, 24-28 October 2010, pp. 11-18.
14. Keim DA. Information visualization and visual data mining. IEEE Trans Visual Comput Graphics. 2002 ; 8 (1). 1-8
15. Elmqvist N, Dragicevic P, Fekete JD. Rolling the dice: multidimensional visual exploration using scatterplot matrix navigation. IEEE Trans Visual Comput Graphics. 2008 ; 14: 1141-1148
16. Cleveland WA, McGill ME Dynamic graphics for statistics. New York: CRC Press Inc ; 1988 :
17. Spotfire Inc. http://www.spotfire.com (2007). Accessed on 23rd of January 2012.
18. Ward MO. XmdvTool: integrating multiple methods for visualizing multivariate data. VIS '94: proceedings of the conference on Visualization ; Wasington, DC, October 1994, pp. 326-333. Los Alamitos, CA: IEEE Computer Society Press.
19. Stolte C, Tang D, Hanrahan P. Polaris: a system for query, analysis, and visualization of multidimensional relational databases. IEEE Trans Visual Comput Graphics. 2002 ; 8 (1). 52-65
20. Swayne DF, Lang DT, Buja A, et al. GGobi: evolving from XGobi into an extensible framework for interactive data visualization. Comput Stat Data Anal. 2003 ; 43 (4). 423-444
21. Caragea D., Cook D., Honavar V. Gaining Insights into Support Vector Machine Classifiers Using Projection-Based Tour Methods. Proceedings of the Conference on Knowledge Discovery and Data Mining (KDD 2001) ; August 26-29, San Francisco, CA, USA. pp. 251-256. ACM Press.
22. Hamel L. Visualization of support vector machines with unsupervised learning. Proceedings of 2006 IEEE symposium on computational intelligence in bioinformatics and computational biology ; Toronto, Canada, 28-29 September 2006.
23. Hartigan JA, Kleiner B. Mosaic for contingency tables. Computer science and statistics: proceedings of the 13th symposium on the interface ; (ed. WF Eddy), 1981, pp. 268-273. New York: Springer.
24. Theus M, Urbanek S Interactive graphics for data analysis: principles and examples (computer science and data analysis). Boca Raton, FL: Chapman & Hall/CRC ; 2008 :
25. Unwin A, Hawkins G, Hofmann H, et al. Interactive graphics for data sets with missing values: MANET. J Comput Graph Stat. 1996 ; 5 (2). 113-122
26. Theus M, Lauer SRW. Visualizing of loglinear models. J Comput Graph Stat. 1999 ; 8 (3). 396-412
27. Ankerst M, Berchtold S, Keim DA. Similarity clustering of dimensions for an enhanced visualization of multidimensional data. INFOVIS '98: proceedings of the 1998 IEEE symposium on information visualization ; 1998, pp. 52-60. Washington, DC: IEEE Computer Society.
28. USA: Atlantic City, NJ ; 2009: 59-66.
29. Heer J, Bostock M, Ogievetsky V. A tour through the visualization zoo. Commun ACM. 2010 ; 53 (6). 59-67
30. Fawcett T. An introduction to ROC analysis. Pattern Recogn Lett. 2006 ; 27 (8). 861-874
31. Tulving E. Episodic memory: from mind to brain. Annu Rev Psychol. 2002 ; 53: 1-25
32. Yi JS, Kang J, Stasko J, et al. Toward a deeper understanding of the role of interaction in information visualization. IEEE Trans Visual Comput Graphics. 2007 ; 13 (6). 1224-1231
33. Bostock M, Heer J. Protovis: a graphical toolkit for visualization. IEEE Trans Visual Comput Graphics. 2009 ;: 1121-1128
34. Plaisant C. The challenge of information visualization evaluation. Proceedings of the working conference on Advanced visual interfaces (AVI '04) ; ACM, New York, NY, USA, 109-116.
35. Perer A, Shneiderman B. Integrating statistics and visualization for exploratory power: from long-term case studies to design guidelines. IEEE Comput Graphics Appl. 2009 ; 29: 39-51