Amílcar Soares - Böcker

This volume contains 40 selected full-text contributions from the Sixth European Conference on Geostatistics for Environmental Applications, geoENV IV, held in Rhodes, Greece, October 25-26, 2006. The objective of the editors was to compile a set of papers from which the reader could perceive how geostatistics is applied within the environmental sciences. A few selected theoretical contributions are also included.

This book provides a broad overview of the state of the art of the research in generative methods for the analysis of social media data. It especially includes two important aspects that currently gain importance in mining and modelling social media: dynamics and networks.The book is divided into five chapters and provides an extensive bibliography consisting of more than 250 papers. After a quick introduction and survey of the book in the first chapter, chapter 2 is devoted to the discussion of data models and ontologies for social network analysis. Next, chapter 3 deals with text generation and generative text models and the dangers they pose to social media and society at large. Chapter 4 then focuses on topic modelling and sentiment analysis in the context of social networks. Finally, Chapter 5 presents graph theory tools and approaches to mine and model social networks. Throughout the book, open problems, highlighting potential future directions, are clearly identified.The book aims at researchers and graduate students in social media analysis, information retrieval, and machine learning applications.

This book explains applications of geostatistics in mining and petroleum engineering and presents advances in theoretical geostatistics. The 12th International Geostatistical Congress follows a long tradition where theoreticians, engineers and practitioners working on geostatistics gather for four days. In 2024, the 12th International Geostatistical Congress was held in the middle of the North Atlantic in Azores. This edition covers the fields of mineral and energy resources engineering, environment, hydrology, ecology, soil sciences, remote sensing, agriculture, fishery, health, spatial data science and the challenges related to sustainable development and carbon neutrality.

This book presents a geostatistical framework for data integration into subsurface Earth modeling. It offers them a deeper understanding of the main geostatistical concepts and how geostatistics can be used to achieve better data integration and reservoir modeling.

This book presents a geostatistical framework for data integration into subsurface Earth modeling. It offers them a deeper understanding of the main geostatistical concepts and how geostatistics can be used to achieve better data integration and reservoir modeling.