Pixel based visual data mining of geo-spatial data

Computers and Graphics (Pergamon)

Volumn 28, Issue 3, 2004, Pages 327-344

  Keim, Daniel A ^a   Panse, Christian ^a   Sips, Mike ^a   North, Stephen C ^b  

^a UNIVERSITY OF KONSTANZ   (Germany)

^b AT AND T LABS RESEARCH   (United States)

Author keywords

Information visualization; Spatial data mining; Visual data mining

Indexed keywords

COMPUTER GRAPHICS; DATA REDUCTION; DATABASE SYSTEMS; INFORMATION THEORY; KNOWLEDGE BASED SYSTEMS; PROBLEM SOLVING; STATISTICAL METHODS;

DOMAIN KNOWLEDGE; INFORMATION VISUALIZATION; SPATIAL DATA MINING; VISUAL DATA MINING;

DATA MINING;

EID: 2542424853     PISSN: 00978493     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cag.2004.03.022     Document Type: Article

References (27)

1. Shneiderman B. The eyes have it: a task by data type taxonomy for information visualizations. In: Proceedings of the IEEE Visual Languages, 1996. p. 336-43.
2. Card S., Mackinlay J., Shneiderman B. Readings in information visualization. 1999;Morgan Kaufmann, Los Altos, CA.
3. Schumann H., Müller W. Visualisierung: grundlagen und allgemeine methoden. 2000;Springer, Berlin.
4. Spence B. Information visualization, UK: Pearson Education Higher Education Publishers; 2000.
5. Ware C. Information visualization: perception for design. 2000;Morgan Kaufmann, Los Altos, CA.
6. Geisler G. Making information more accessible: a survey of information visualization applications and techniques, http://www.ils.unc.edu/~geisg/info/ infovis/paper.html, February 2003.
7. Fotheringham A.S., Rogerson P. Spatial analysis and GIS. 1994;Taylor and Francis, London.
8. Han J., Kamber M. Data mining: concepts and techniques. 2001;Morgan Kaufmann, Los Altos, CA.
9. Hand D.J., Mannila H., Smyth P. Principles of data mining. 2001;MIT Press, Cambridge, MA.
10. Koperski K, Adhikary J, Han J. Spatial data mining: progress and challenges. In: Research issues on data mining and knowledge discovery, 1996.
11. Koperski K, Han J, Adhikary J. Mining knowledge in geographical data. Communications of the ACM 1998.
12. Keim DA, North SC, Panse C, Sips M. Pixelmaps: a new visual data mining approach for analyzing large spatial data sets. In: ICDM 2003, The Third IEEE International Conference on Data Mining, Melbourne, Florida, USA, 2003.
13. Advizor Solutions Inc., Visual Insight In3D, http://www.advizorsolutions. com/, February 2003.
14. ESRI, Arc View, http://www.esri.com/software/arcgis/arcview/index.html, February 2003.
15. SGI MineSet, website, http://www.sgi.com/software/mineset.html, February 2002.
16. Keim D, Koutsofios E, North SC. Visual exploration of large telecommunication data sets. In: Proceedings of the Workshop on User Interfaces In Data Intensive Systems (Invited Talk), Edinburgh, UK, 1999. p. 12-20.
17. Keim DA, Herrmann A. The gridfit algorithm: an efficient and effective approach to visualizing large amounts of spatial data. Proceedings of the IEEE Visualization, Research Triangle Park, NC, 1998. p. 181-8.
18. Silverman B.W. Density estimation for statistics and data analysis. 1986;Chapman & Hall, London.
19. Scott D.W. Multivariate density estimation. 1998;Wiley, New York.
20. Wand M.P., Jones M.C. Kernel smoothing. 1995;Chapman & Hall, London.
21. Keim DA, North SC, Panse C, Schneidewind J. Efficient cartogram generation: a comparison. In: Proceedings of the InfoVis 2002, IEEE Symposium on Information Visualization, Boston, Massachusetts, 2002. p. 33-6.
22. Keim D, North S, Panse C, Schneidewind J. Visualizing geographic information: VisualPoints vs CartoDraw, Palgrave Macmillan - Information Visualization 2003;2(1):58-67.
23. Kocmoud CJ, House DH. Continuous cartogram construction. Proceedings of the IEEE Visualization, 1998. p. 197-204.
24. Gen M., Cheng R. Genetic algorithm and engineering optimization. 2000;Wiley, New York.
25. Dorigo M, Maniezzo V. Parallel genetic algorithms: introduction and overview of current research. In: Parallel genetic algorithms: theory and applications, Amsterdam: IOS Press; 1993.
26. Zitzler E, Thiele L. Multiobjective optimization using evolutionary algorithms - a comparative case study. In: PPSN-V, the 5th International Conference on Parallel Problem solving from Nature, Amsterdam, 1998, p. 292-301.
27. United States Department of Commerce, Census Bureau website, http://www.census.gov/, September 2003.