Description: This hardcover textbook titled "Spatial Data Mining: Theory and Application" by authors Shuliang Wang, Deyi Li, and Deren Li, published by Springer Berlin/Heidelberg in 2016, provides in-depth knowledge on data analysis, information management, information science, and data storage. It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project 'the Belt and Road Initiatives'. Cover has no visible wear. The dust jacket is NOT included since it does not come with a dust jacket. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins.
Price: 30 USD
Location: Seattle, Washington
End Time: 2024-11-25T02:10:19.000Z
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Book Title: Spatial Data Mining : Theory and Application
Country/Region of Manufacture: United States
Number of Pages: Xxviii, 308 Pages
Language: English
Publication Name: Spatial Data Mining : Theory and Application
Publisher: Springer Berlin / Heidelberg
Subject: Earth Sciences / Geography, Probability & Statistics / General, Databases / Data Mining
Publication Year: 2016
Type: Textbook
Item Weight: 221.1 Oz
Subject Area: Mathematics, Computers, Science
Author: Shuliang Wang, Deyi Li, Deren Li
Item Length: 9.3 in
Item Width: 6.1 in
Format: Hardcover