Visual data mining in large geospatial point sets

IEEE Computer Graphics and Applications

Volumn 24, Issue 5, 2004, Pages 36-44

  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

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; INTERACTIVE COMPUTER GRAPHICS; PATTERN RECOGNITION; STATISTICAL METHODS; THREE DIMENSIONAL COMPUTER GRAPHICS;

GEOSPATIAL DATA VISUALIZATION; VISUAL DATA EXPLORATION; VISUAL DATA MINING;

DATA MINING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER GRAPHICS; COMPUTER INTERFACE; COMPUTER PROGRAM; DATA BASE; EVALUATION; GEOGRAPHIC INFORMATION SYSTEM; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; ONLINE SYSTEM; RESEARCH; SIGNAL PROCESSING;

ALGORITHMS; COMPUTER GRAPHICS; DATABASE MANAGEMENT SYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION STORAGE AND RETRIEVAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; ONLINE SYSTEMS; PATTERN RECOGNITION, AUTOMATED; RESEARCH; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; USER-COMPUTER INTERFACE;

EID: 4644302293     PISSN: 02721716     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCG.2004.41     Document Type: Article

References (7)

1. A.S. Fotheringham and P. Rogerson, Spatial Analysis and GIS, Taylor and Francis, 1994.
2. K. Koperski, J. Adhikary, and J. Han, "Spatial Data Mining: Progress and Challenges," Research Issues on Data Mining and Knowledge Discovery, ACM Press, 1996.
3. D.A. Keim et al., "Pushing the Limit in Visual Data Exploration: Techniques and Applications," Proc. Advances in Artificial Intelligence, 26th Ann. German Conf. AI, LNAI 2821, Springer-Verlag, 2003, pp. 37-51.
4. D.A. Keim, C. Panse, and M. Sips, "Information Visualization: Scope, Techniques, and Opportunities for Geovisualization," to be published in Exploring Geovisualization, J. Dykes, A. MacEachren, and M.-d.Kraak, eds., Elsevier, 2004, pp. 15-44.
5. D.A. Keim et al., "PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets," Proc. 3rd IEEE Int'l Conf. Data Mining (ICDM 03), IEEE CS Press, 2003, pp. 565-568.
6. B. Shneiderman, "The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations," Proc. IEEE Visual Languages Conf., IEEE CS Press, 1996, pp. 336-343.
7. D.A. Keim et al., "Pixel Based Visual Mining of Geospatial Data," Computers and Graphics (CAG), vol. 28, no. 3, June 2004, pp. 327-344.