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Könyv Visual and Spatial Analysis B. Kovalerchuk

Visual and Spatial Analysis

Advances in Data Mining, Reasoning, and Problem Solving

Szerző: B. Kovalerchuk, J. Schwing
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer-Verlag New York Inc.
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
115 268 Ft
Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pyth...

Információk a könyvről

Szerző
B. Kovalerchuk, J. Schwing
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2005
oldal
576
EAN
9781402029394
ISBN
140202939X
Enbook ID
01415947
Kiadó
Springer-Verlag New York Inc.
Súly
1166
Méretek
160 x 240 x 41

Teljes leírás

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.

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