Download PDF Spatial Data Mining Theory and Application

[Download Ebook.t5vn] Spatial Data Mining Theory and Application

[Download Ebook.t5vn] Spatial Data Mining Theory and Application

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Book Details :
Published on: 2016-03-24
Released on:
Original language: English

·        This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). 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’. Data - Wikipedia Biological data; Data acquisition; Data analysis; Data cable; Data domain; Data element; Data farming; Data governance; Data integrity; Data maintenance; Data management Data mining - Wikipedia Data mining is an interdisciplinary subfield of computer science. It is the computational process of discovering patterns in large data sets involving methods at the ... GIS Certificate & Degree Programs Online USC The Geographic Information Science and Technology online graduate programs serve as an academic pathway for students who are motivated to address major global ... The WEKA Data Mining Software: an Update More than twelve years have elapsed since the first public release of WEKA. In that time the software has been rewritten entirely from scratch evolved substantially ... Companies with Data Mining and Analytics Products A B C D E F G H I J K L M N O P Q R S T U V W XYZ. AIM Learning offers fast data mining tools based on genetic programming and simulated annealing. Alacrity ... 1000 GIS Applications & Uses - How GIS Is Changing the ... Superpower Your Data with these 1000 GIS Applications & Uses. Struggling to find GIS projects for you or your students? Read the list. Paralyzed when someone asks ... Data Mining and Knowledge Discovery - incl. option to ... The premier technical publication in the field Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for ... Home Esri Video Videos from Esri ... To download video right-click "Download" and select "Save Link As..." Spatial Statistics - Journal - Elsevier Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by ... Data Mining: Concepts and Techniques Slides for Textbook ... Title: Data Mining: Concepts and Techniques Slides for Textbook Chapter 1 Author: Slobodan Vucetic Last modified by: Slobodan Vucetic
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