Description: Visual and Spatial Analysis by Boris Kovalerchuk, James Schwing 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 domains. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pythagorean Theorem was proven using visual means more than 2000 years ago. In the 19th century, John Snow stopped a cholera epidemic in London by proposing that a specific water pump be shut down. He discovered that pump by visually correlating data on a city map. The goal of this book is to present the current trends in visual and spatial analysis for data mining, reasoning, problem solving and decision-making. This is the first book to focus on visual decision making and problem solving in general with specific applications in the geospatial domain - combining theory with real-world practice. The book is unique in its integration of modern symbolic and visual approaches to decision making and problem solving. As such, it ties together much of the monograph and textbook literature in these emerging 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 domains. Each chapter ends with a summary and exercises.The book is intended for professionals and graduate students in computer science, applied mathematics, imaging science and Geospatial Information Systems (GIS). In addition to being a state-of-the-art research compilation, this book can be used a text for advanced courses on the subjects such as modeling, computer graphics, visualization, image processing, data mining, GIS, and algorithm analysis. Table of Contents Visual Problem Solving And Decision Making.- Decision process and its visual aspects.- Information visualization value stack model.- Visual And Heterogeneous Reasoning.- Visual reasoning and representation.- Representing visual decision making: a computational architecture for heterogeneous reasoning.- Algebraic visual symbolism for problem solving: iconic equations from Diophantus to the present.- Iconic reasoning architecture for analysis and decision making.- Toward visual reasoning and discovery: lessons from the early history of mathematics.- Visual Correlation.- Visual correlation methods and models.- Iconic approach for data annotating, searching and correlating.- Bruegel iconic correlation system.- Visual And Spatial Data Mining.- Visualizing data streams.- SPIN! — an enterprise architecture for data mining and visual analysis of spatial data.- XML-based visualization and evaluation of data mining results.- Neural-network techniques for visual mining clinical electroencephalograms.- Visual data mining with simultaneous rescaling.- Visual data mining using monotone Boolean functions.- Visual And Spatial Problem Solving In Geospatial Domains.- Imagery integration as conflict resolution decision process: methods and approaches.- Multilevel analytical and visual decision framework for imagery conflation and registration.- Conflation of images with algebraic structures.- Algorithm development technology for conflation and area-based conflation algorithm.- Virtual experts for imagery registration and conflation. Long Description Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pythagorean Theorem was proven using visual means more than 2000 years ago. In the 19th century, John Snow stopped a cholera epidemic in London by proposing that a specific water pump be shut down. He discovered that pump by visually correlating data on a city map. The goal of this book is to present the current trends in visual and spatial analysis for data mining, reasoning, problem solving and decision-making. This is the first book to focus on visual decision making and problem solving in general with specific applications in the geospatial domain - combining theory with real-world practice. The book is unique in its integration of modern symbolic and visual approaches to decision making and problem solving. As such, it ties together much of the monograph and textbook literature in these emerging 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 domains. Each chapter ends with a summary and exercises. The book is intended for professionals and graduate students in computer science, applied mathematics, imaging science and Geospatial Information Systems (GIS). In addition to being a state-of-the-art research compilation, this book can be used a text for advanced courses on the subjects such as modeling, computer graphics, visualization, image processing, data mining, GIS, and algorithm analysis. Details ISBN140202939X Short Title VISUAL & SPATIAL ANALYSIS Pages 576 Language English ISBN-10 140202939X ISBN-13 9781402029394 Media Book Format Hardcover DEWEY 004 Year 2005 Subtitle Advances in Data Mining, Reasoning, and Problem Solving DOI 10.1023/b101048 Edited by Boris Kovalerchuk Imprint Springer-Verlag New York Inc. Place of Publication New York, NY Country of Publication United States AU Release Date 2005-02-23 NZ Release Date 2005-02-23 US Release Date 2005-02-23 UK Release Date 2005-02-23 Author James Schwing Publisher Springer-Verlag New York Inc. Edition Description 2004 ed. Edition 2004th Publication Date 2005-02-23 Alternative 9789048167500 Illustrations XX, 576 p. Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96314925;
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ISBN-13: 9781402029394
Book Title: Visual and Spatial Analysis
Number of Pages: 576 Pages
Language: English
Publication Name: Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving
Publisher: Springer-Verlag New York Inc.
Publication Year: 2005
Subject: Computer Science
Item Height: 240 mm
Item Weight: 1166 g
Type: Textbook
Author: Boris Kovalerchuk, James Schwing
Item Width: 160 mm
Format: Hardcover