There are two aspects of interestingness of rules that have been studied in data mining literature, objective and subjective measures (Liu, 1997; Adomavicius & Tuzhilin, 1997; Silberschatz & Tuzhilin, 1995, 1996). Objective measures are data-driven and domain-independent. Generally, they evaluate the rules based on their quality and similarity between them. Subjective measures, including unexpectedness, novelty and actionability, are user-driven and domain-dependent. A rule is actionable if user can do an action to his/her advantage based on this rule (Liu, 1997).

Environmental remote sensing is the measurement, from a distance, of the spectral features of the Earth’s surface and atmosphere. These measurements are normally made by instruments carried by satellites or aircraft, and are used to infer the nature and characteristics of the land or sea surface, or of the atmosphere, at the time of observation.

Книга посвящена одному из актуальных направлений в подземной гидродинамике моделированию движения подземных вод и массопереносу в них загрязняющих компонентов. Подробно рассмотрены теоретические основы моделирования на основе численных методов. Особое внимание уделено вопросам физической сущности процессов фильтрации и массопереноса при использовании компьютерных технологий, оценке и проверке достоверности исходной информации и принимаемых предпосылок для разработки математической модели

Статья посвящена исследованию новых возможностей пространственной трехмерной интерполяции методами машинного обучения для решения традиционных геологических задач с недостатком данных. Впечатляющий успех моделей машинного обучения определяется богатыми возможностями и простотой в использовании, позволяющими воспроизводить чрезвычайно сложные зависимости за счет способности самообучаться.

In geospatial data interpolation, as in mapping, mineral resource estimation, modeling and numerical modeling in geosciences, kriging has been a central technique since the advent of geostatistics. Here, we introduce a new method for spatial interpolation in 2D and 3D using a block discretization technique (i.e., microblocking) using purely machine-learning algorithms and workflow design.

Also known as the petroleum industry, Oil and Gas industry is one of the biggest sectors or portions of all industries in the world in terms of monetary value (as high as $2 trillion per annum in 2021 [1]). Due to its inherent nature of providing the most crucial economic framework – Oil to the world, Oil and Gas industry stands apart as one of the most significant, widespread and impactful industries around the globe, especially for countries including the United States, Russia, Canada, Saudi Arabia and China.

Editorial for Special Issue “3D/4D Geological Modeling for Mineral Exploration”

Xiumei Lv, Wangdong Yang, Xiaoning Liu and Gongwen Wang Applications of Radial Basis Functional Link Networks in the Exploration for Lala Copper Deposits in Sichuan Province, China

Baoyi Zhang, Yongqiang Tong, Jiangfeng Du, Shafqat Hussain, Zhengwen Jiang and Shahzad Ali et al. Three-Dimensional Structural Modeling (3D SM) and Joint Geophysical Characterization (JGC) of Hydrocarbon Reservoir

Zhifei Liu, Ling Zuo, Senmin Xu, Yaqing He, Chunyi Wang and Luofeng Wang et al. 3D Multi-Parameter Geological Modeling and Knowledge Findings for Mo Oxide Orebodies in the Shangfanggou Porphyry–Skarn Mo (–Fe) Deposit, Henan Province, China

‘Orebody modelling and strategic mine planning’ are arguably the backbone of our industry and represent an intricate, complex and critically important part of mining ventures. They have a profound effect on the value of a mine, as well as determining the technical plan to be followed from mine development to mine closure.
It is most gratifying to introduce the second revised edition of this Spectrum Series volume on the above topic, following the depletion of all copies of the first edition within about a year of its publication.

The Symposium of the International Association for Computer Methods and Advances in Geomechanics (IACMAG) was held at the Indian Institute of Technology Gandhinagar, Gujarat, India, during the period 5–7 March 2019. Computer applications of geomechanics have been gaining much popularity from the early days of the International Conference on Numerical Methods in Geomechanics at Vicksburg, in 1972, Blacksburg, in 1976, and Innsbruck, Austria, in 1988. It was in that very context the IACMAG was established and it has been growing ever since with various stakeholders contributing significantly from different nations across the world. IACMAG aims at fostering multidisciplinary research and ideas pertaining to geomechanics with particular emphasis on integrating both the practical and the fundamental aspects. The field of geomechanics has evolved with time, and in this regard, IACMAG takes into account the need for judicious simplification of fundamental aspects of geomechanics with proper amalgamation of theory and experimentation in order that they find their use in practical problems and challenges faced in the industry today <...>