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Titlebook: Visual and Spatial Analysis; Advances in Data Min Boris Kovalerchuk,James Schwing Book 2004 Springer Science+Business Media B.V. 2004 algeb

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George G. He,Boris Kovalerchuk,Thomas Mrozaus ihrem Umkreis herausgehoben wird, insofern sind sie anekdotentypisch näher bestimmt. Insofern unterscheidet sich die Anekdote von ihren Prosageschwistern. . hat in seinen »Einfachen Formen« die Anekdote nicht einbezogen.
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Representing visual decision making: a computational architecture for heterogeneous reasoningis maintained and the informational dependencies and justifications of the individual steps of the reasoning can be recorded. Our architecture is based on the model of natural deduction in formal logic. In this chapter we describe and motivate the modifications to the standard logical model necessar
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Visualizing data streamsssing of the entire dataset in full resolution. We demonstrate these dynamic visualization results using a newswire corpus, a remote sensing imagery sequence, and a hydroclimate dataset..Key words: Dynamic Visualization, Text Visualization, Remote Sensing Imagery, Hydroclimate Dataset, Transient Dat
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Neural-network techniques for visual mining clinical electroencephalogramse new neural-network technique developed to derive multi-class concepts from data. We used this technique for deriving a 16-class concept from the large-scale clinical EEG data. Finally, we discuss perspectives of applying the neuralnetwork techniques to clinical EEGs.Key words: Classification model
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Multilevel analytical and visual decision framework for imagery conflation and registrationes between data sources for a given mapping function. A specific case study of AVDF for pixel-level conflation is presented based on Shannon’s concept of mutual entropy..Key words: Imagery conflation, registration, analytical and visual decision framework, complexity space, conflation level, rule ba
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Conflation of images with algebraic structuresonal topology and geometry. This chapter describes the theory of algebraic invariants, a conflation/ registration method with measures of correctness of feature matching..Key words: data fusion, imagery conflation, algebraic invariants, geospatial feature, polyline match, measure of correctness, str
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Book 2004emerging areas. ..This book contains 21 chapters that have been grouped into five parts: (1) visual problem solving and decision making, (2) visual and heterogeneous reasoning, (3) visual correlation, (4) visual and spatial data mining, and (5) visual and spatial problem solving in geospatial domain
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