| 书目名称 | Visual and Spatial Analysis | | 副标题 | Advances in Data Min | | 编辑 | Boris Kovalerchuk,James Schwing | | 视频video | | | 图书封面 |  | | 描述 | .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 domain | | 出版日期 | Book 2004 | | 关键词 | algebra; algorithms; computer graphics; computer science; data mining; graphics; image processing; informat | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4020-2958-5 | | isbn_softcover | 978-90-481-6750-0 | | isbn_ebook | 978-1-4020-2958-5 | | copyright | Springer Science+Business Media B.V. 2004 |
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发表于 2025-3-21 19:53:55
