Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving
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 dis...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
2004
|
| Ausgabe: | 1st ed. 2004 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XX, 576 p) |
| ISBN: | 9781402029585 |
| DOI: | 10.1007/978-1-4020-2958-5 |
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| 520 | |a 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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| id | DE-604.BV047064588 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:22Z |
| indexdate | 2024-07-10T09:01:35Z |
| institution | BVB |
| isbn | 9781402029585 |
| language | English |
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| spelling | Visual and Spatial Analysis Advances in Data Mining, Reasoning, and Problem Solving edited by Boris Kovalerchuk, James Schwing 1st ed. 2004 Dordrecht Springer Netherlands 2004 1 Online-Ressource (XX, 576 p) txt rdacontent c rdamedia cr rdacarrier 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 Computer Science, general User Interfaces and Human Computer Interaction Artificial Intelligence Image Processing and Computer Vision Computer science User interfaces (Computer systems) Artificial intelligence Optical data processing Kovalerchuk, Boris edt Schwing, James edt Erscheint auch als Druck-Ausgabe 9789048167500 Erscheint auch als Druck-Ausgabe 9781402029394 Erscheint auch als Druck-Ausgabe 9789401750943 https://doi.org/10.1007/978-1-4020-2958-5 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Visual and Spatial Analysis Advances in Data Mining, Reasoning, and Problem Solving Computer Science, general User Interfaces and Human Computer Interaction Artificial Intelligence Image Processing and Computer Vision Computer science User interfaces (Computer systems) Artificial intelligence Optical data processing |
| title | Visual and Spatial Analysis Advances in Data Mining, Reasoning, and Problem Solving |
| title_auth | Visual and Spatial Analysis Advances in Data Mining, Reasoning, and Problem Solving |
| title_exact_search | Visual and Spatial Analysis Advances in Data Mining, Reasoning, and Problem Solving |
| title_exact_search_txtP | Visual and Spatial Analysis Advances in Data Mining, Reasoning, and Problem Solving |
| title_full | Visual and Spatial Analysis Advances in Data Mining, Reasoning, and Problem Solving edited by Boris Kovalerchuk, James Schwing |
| title_fullStr | Visual and Spatial Analysis Advances in Data Mining, Reasoning, and Problem Solving edited by Boris Kovalerchuk, James Schwing |
| title_full_unstemmed | Visual and Spatial Analysis Advances in Data Mining, Reasoning, and Problem Solving edited by Boris Kovalerchuk, James Schwing |
| title_short | Visual and Spatial Analysis |
| title_sort | visual and spatial analysis advances in data mining reasoning and problem solving |
| title_sub | Advances in Data Mining, Reasoning, and Problem Solving |
| topic | Computer Science, general User Interfaces and Human Computer Interaction Artificial Intelligence Image Processing and Computer Vision Computer science User interfaces (Computer systems) Artificial intelligence Optical data processing |
| topic_facet | Computer Science, general User Interfaces and Human Computer Interaction Artificial Intelligence Image Processing and Computer Vision Computer science User interfaces (Computer systems) Artificial intelligence Optical data processing |
| url | https://doi.org/10.1007/978-1-4020-2958-5 |
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