Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving (Hardcover)

Preface, Color Plates PART 1. Visual Problem Solving and Decision Making 1. Decision process and its visual aspects, 2.Information visualization value stack model PART 2. Visual and Heterogeneous Reasoning 3. Visual reasoning and representation, 4. Representing visual decision making: a computational architecture for heterogeneous reasoning, 5. Algebraic visual symbolism for problem solving: iconic equations from Diophantus to our days, 6. Iconic reasoning architecture for analysis and decision making, 7.Toward visual reasoning and discovery: lessons from early history of mathematics PART 3. Visual Correlation 8. Visual correlation methods and models, 9.Iconic approach for data annotating, searching and correlating, 10. Bruegel iconic correlation system PART 4. Visual and Spatial Data Mining 11. Visualizing data streams, 12. SPIN! - an enterprise architecture for data mining and visual analysis of spatial data, 13. XML-based visualization and evaluation of data mining results, 14. Neural-network techniques for visual mining clinical electronencephalograms, 15. Visual data mining with simultaneous rescaling, 16. Visual data mining using monotone Boolean functions PART 5. Visual and Spatial Problem Solving in Geospatial Domains 17. Imagery integration as conflict resolution decision process: methods and approaches, 18. Multilevel analytical and visual decision framework for imagery conflation and registration, 19. Conflation of images with algebraic structures, 20. Algorithm development technology for conflation and area-based conflation algorithm, 21. Virtual experts for imagery registration and conflation