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Exploration of new mines is vitally important for human life. Geospatial Information Systems (GIS) can be effectively used in the gathering, weighting, analyzing and presenting spatial and attribute information to facilitate the mine exploration process. The success of mine exploration largely depends on: the identification of governing factors, the determination of their impacts and the selection of suitable models to integrate the parameters. Weighting methods are classified into two main groups: data-driven and knowledge-driven. Six weighting methods are identified and scientifically assessed in this study, namely; Ratio Estimation, Analytical Hierarchy Process (AHP), Delphi, Weight of Evidence, Logistic Regression and Artificial Neural Networks (ANN). The first three are examples of knowledge-driven and the last three are classified in the data-driven group. In order to evaluate the methods, the information of 26 copper boreholes are used. Numerical experimentations showed that the artificial neural network used in this study is the most accurate method because it could predict the characteristics of all boreholes correctly. It is shown that knowledge-driven methods are very much affected by the degree of knowledge and the specialization of experts. The results indicated that AHP is the most successful method among knowledge-driven class and could predict the characteristics of 82% of boreholes correctly.

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It is our great pleasure to invite you to attend the EURASIAN GIS Congress 2018 held in Baku on 04-07, September 2018. EURASIAN GIS Congress 2018 is a candidate of one of the most important event in the scientific schedule and tenders a possibility for researchers and academicians who researches on GIS and related disciplines. You can find a first class programme of plenary speakers, technical sessions, exhibitions and social events in this book. You will be able to catch up with the developments in Geographical Information Sciences, Information Technology, Environmental Management and Resources, Sustainable Agriculture, Surveying, Photogrammetry and Remote Sensing, meet friends and experience the traditional and fascinating culture of AZERBAIJAN. As a international congress in the field of geo-spatial information and remote sensing, EURASIAN GIS Congress 2018 is devoted to promote the advancement of knowledge, research, development, education and training in Geographical Information Sciences, Information Technology, Environmental Management and Resources, Sustainable Agriculture, Surveying, Photogrammetry and Remote Sensing, their integration and applications, as to contribute to the well-being of humanity and the sustainability of the environment. The EURASIAN GIS Congress 2018 will provide us an opportunity to examine the challenges facing us, discuss how to support Future Earth with global geo-information, and formulate the future research agenda. 150 scientists from 13 countries attended to the congress. 7 plenary speakers, 120 oral presentations and 8 poster presentations, all together with 135 in total, are presented during the congress. 135 presentations take place in 21 sessions in three days. Mohammadi & Hosseinali (2019) presented in the organization was selected for publication in IJEGEO 6(1) as Short Communication.