Data Mining And Knowledge Discovery For Geoscientists
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Data Mining And Knowledge Discovery For Geoscientists
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Author : Guangren Shi
language : en
Publisher: Elsevier
Release Date : 2013-10-09
Data Mining And Knowledge Discovery For Geoscientists written by Guangren Shi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-09 with Computers categories.
Currently there are major challenges in data mining applications in the geosciences. This is due primarily to the fact that there is a wealth of available mining data amid an absence of the knowledge and expertise necessary to analyze and accurately interpret the same data. Most geoscientists have no practical knowledge or experience using data mining techniques. For the few that do, they typically lack expertise in using data mining software and in selecting the most appropriate algorithms for a given application. This leads to a paradoxical scenario of "rich data but poor knowledge". The true solution is to apply data mining techniques in geosciences databases and to modify these techniques for practical applications. Authored by a global thought leader in data mining, Data Mining and Knowledge Discovery for Geoscientists addresses these challenges by summarizing the latest developments in geosciences data mining and arming scientists with the ability to apply key concepts to effectively analyze and interpret vast amounts of critical information. - Focuses on 22 of data mining's most practical algorithms and popular application samples - Features 36 case studies and end-of-chapter exercises unique to the geosciences to underscore key data mining applications - Presents a practical and integrated system of data mining and knowledge discovery for geoscientists - Rigorous yet broadly accessible to geoscientists, engineers, researchers and programmers in data mining - Introduces widely used algorithms, their basic principles and conditions of applications, diverse case studies, and suggests algorithms that may be suitable for specific applications
Geoinformatics
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Author : A. Krishna Sinha
language : en
Publisher: Geological Society of America
Release Date : 2006-01-01
Geoinformatics written by A. Krishna Sinha and has been published by Geological Society of America this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Science categories.
"The science of informatics in the broadest sense has been several thousands of years in the making. With the recent emergence of large storage devices and high-speed processing of data, it has become possible to organize vast amounts of data as digital products with ontologic tags and concepts for smart queries. Coupling this computational capability with earth science data defines the emerging field of geoinformatics. Since the science of geology was established several centuries ago, observations led to conclusions that were integrative in concept and clearly had profound implications for the birth of geology. As disciplinary information about Earth becomes more voluminous, the use of geoinformatics will lead to integrative, science-based discoveries of new knowledge about planetary systems. Twenty one research papers, co-authored by 96 researchers from both earth and computer sciences, provide the first-ever organized presentation of the science of informatics as it relates to geology. Readers will readily recognize the vast intellectual content represented by these papers as they seek to address the core research goals of geoinformatics."--Publisher's website.
Scientific Data Mining And Knowledge Discovery
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Author : Mohamed Medhat Gaber
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-19
Scientific Data Mining And Knowledge Discovery written by Mohamed Medhat Gaber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-19 with Computers categories.
Mohamed Medhat Gaber “It is not my aim to surprise or shock you – but the simplest way I can summarise is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problems they can handle will be coextensive with the range to which the human mind has been applied” by Herbert A. Simon (1916-2001) 1Overview This book suits both graduate students and researchers with a focus on discovering knowledge from scienti c data. The use of computational power for data analysis and knowledge discovery in scienti c disciplines has found its roots with the re- lution of high-performance computing systems. Computational science in physics, chemistry, and biology represents the rst step towards automation of data analysis tasks. The rational behind the developmentof computationalscience in different - eas was automating mathematical operations performed in those areas. There was no attention paid to the scienti c discovery process. Automated Scienti c Disc- ery (ASD) [1–3] represents the second natural step. ASD attempted to automate the process of theory discovery supported by studies in philosophy of science and cognitive sciences. Although early research articles have shown great successes, the area has not evolved due to many reasons. The most important reason was the lack of interaction between scientists and the automating systems.
Recent Advancement In Geoinformatics And Data Science
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Author : Xiaogang Ma
language : en
Publisher: Geological Society of America
Release Date : 2023-04-11
Recent Advancement In Geoinformatics And Data Science written by Xiaogang Ma and has been published by Geological Society of America this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-11 with Science categories.
"The chapters in this Special Paper present the latest progress and discoveries in both the methodology and technology of geoinformatics. The methodologies, technologies, and best practices will make this volume a useful reference with long-term impacts for data-intensive geoscience in the next decade and beyond"--
R Applications In Earth Sciences
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Author : Łukasz Pawlik
language : en
Publisher: Springer Nature
Release Date : 2025-08-01
R Applications In Earth Sciences written by Łukasz Pawlik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-01 with Science categories.
This textbook helps to understand the real Earth data with the practical application of many handy R tools and techniques. R language and thousands of R packages can be used to solve the most sophisticated scientific problems. The book provides insights to the various approaches to Earth-related data analysis, starting from data preparation and validation, exploratory data analysis, linear regression, and going through time series decomposition, modeling, and prediction. In addition, the book introduces machine learning techniques and their application to some real problems. Along with a profound explanation of the datasets and theoretical considerations of the methods, the book offers a way of solving practical problems lying at the frontline of modern data analysis in physical geography, soils, and climate science.
Encyclopedia Of Mathematical Geosciences
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Author : B. S. Daya Sagar
language : en
Publisher: Springer Nature
Release Date : 2023-07-13
Encyclopedia Of Mathematical Geosciences written by B. S. Daya Sagar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-13 with Science categories.
The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mathematical Geosciences. Over 300 international scientists, each expert in their specialties, have written around 350 separate articles on different topics of mathematical geosciences including contributions on Artificial Intelligence, Big Data, Compositional Data Analysis, Geomathematics, Geostatistics, Geographical Information Science, Mathematical Morphology, Mathematical Petrology, Multifractals, Multiple Point Statistics, Spatial Data Science, Spatial Statistics, and Stochastic Process Modeling. Each topic incorporates cross-referencing to related articles, and also has its own reference list to lead the reader to essential articles within the published literature. The entries are arranged alphabetically, for easy access, and the subject and author indices are comprehensive and extensive.
Advanced Computing In Industrial Mathematics
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Author : Ivan Georgiev
language : en
Publisher: Springer Nature
Release Date : 2025-07-01
Advanced Computing In Industrial Mathematics written by Ivan Georgiev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Computers categories.
This book gathers the peer-reviewed proceedings of the 17th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM'22, held in Sofia, Bulgaria. The general theme of BGSIAM'22 was industrial and applied mathematics with particular focus on: mathematical physics, numerical analysis, high performance computing, optimization and control, mathematical biology, stochastic modeling, machine learning, digitization and imaging, advanced computing in environmental, biomedical and engineering applications.
Knowledge Guided Machine Learning
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Author : Anuj Karpatne
language : en
Publisher: CRC Press
Release Date : 2022-08-15
Knowledge Guided Machine Learning written by Anuj Karpatne and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-15 with Business & Economics categories.
Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML
Earth Science
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Author : Roy H. Williams
language : en
Publisher: CRC Press
Release Date : 2011-12-15
Earth Science written by Roy H. Williams and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-15 with Nature categories.
Earth science is a broad field of study that encompasses many different disciplines, including meteorology, climatology, and geology. The importance of the earth sciences—in predicting weather and climate, tracking pollution, drilling for petroleum, evaluating soil, and monitoring ground water—is paramount in modern society. This new work covers a broad selection of topics, including use of satellite remote sensing to track pollution and weather patterns, monitoring for pre-earthquake signals, using earthquakes to uncover new information about the earth, desalination of ground water, predicting deforestation, and much more.
Innovative Exploration Methods For Minerals Oil Gas And Groundwater For Sustainable Development
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Author : A. K. Moitra
language : en
Publisher: Elsevier
Release Date : 2021-12-03
Innovative Exploration Methods For Minerals Oil Gas And Groundwater For Sustainable Development written by A. K. Moitra and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-03 with Science categories.
Innovative Exploration Methods for Mineral, Oil, Gas, and Groundwater for Sustainable Development provides an integrated approach to exploration encompassing geology, geophysics, mining, and mineral processing. In addition, groundwater exploration is included, as it is central to the development of earth resources. As the demand for coal, minerals, oil and gas, and water continues to grow globally, researchers must prioritize sustainable exploration methods. Old technologies are being replaced speedily and exploration work has become fast, focused, meaningful, and readily reproducible keeping in pace with the changing global scenario. The themes of exploration of energy resources, exploration of minerals, groundwater exploration and processing and mineral engineering are separated out into sections and chapters included in these sections include case studies focusing on tools and techniques for exploration. Innovative Exploration Methods for Mineral, Oil, Gas, and Groundwater for Sustainable Development gives insight to modern concepts of exploration for those working in the various fields of energy, mineral, and groundwater exploration. - Presents innovative research that will both challenge and complement the traditional concepts of exploration - Covers a wide range of instruments and their applications, as well as the tools and processes that need to be followed for modern exploration work - Includes research on groundwater exploration with a focus on conservation and sustainable exploration and development