Data Mining and Knowledge Discovery for Geoscientists

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

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  • Author : Guangren Shi
  • Publisher : Elsevier
  • Pages : 376 pages
  • ISBN : 0124104754
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKData Mining and Knowledge Discovery for Geoscientists

Data Mining and Knowledge Discovery for Geoscientists

Data Mining and Knowledge Discovery for Geoscientists
  • Author : Guangren Shi
  • Publisher : Elsevier
  • Release : 09 October 2013
GET THIS BOOKData Mining and Knowledge Discovery for Geoscientists

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

Innovative Exploration Methods for Minerals, Oil, Gas, and Groundwater for Sustainable Development

Innovative Exploration Methods for Minerals, Oil, Gas, and Groundwater for Sustainable Development
  • Author : A. K. Moitra,Jayanta Bhattacharya,J. R. Kayal,Biplab Mukerji,A.K. Das
  • Publisher : Elsevier
  • Release : 08 December 2021
GET THIS BOOKInnovative Exploration Methods for Minerals, Oil, Gas, and Groundwater for Sustainable Development

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

Engineering Optimization 2014

Engineering Optimization 2014
  • Author : Hélder Rodrigues,José Herskovits,Christóvão Mota Soares,José Miranda Guedes,Aurelio Araujo,João Folgado,Filipa Moleiro,José Aguilar Madeira
  • Publisher : CRC Press
  • Release : 26 September 2014
GET THIS BOOKEngineering Optimization 2014

Modern engineering processes and tasks are highly complex, multi- and interdisciplinary, requiring the cooperative effort of different specialists from engineering, mathematics, computer science and even social sciences. Optimization methodologies are fundamental instruments to tackle this complexity, giving the possibility to unite synergistically team members’ inputs and thus decisively contribute to solving new engineering technological challenges. With this context in mind, the main goal of Engineering Optimization 2014 is to unite engineers, applied mathematicians, computer and other applied scientists working on research,

Geoinformatics

Geoinformatics
  • Author : A. Krishna Sinha
  • Publisher : Geological Society of America
  • Release : 01 January 2006
GET THIS BOOKGeoinformatics

"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

Data Mining and Knowledge Discovery in Real Life Applications

Data Mining and Knowledge Discovery in Real Life Applications
  • Author : Julio Ponce,Adem Karahoca
  • Publisher : BoD – Books on Demand
  • Release : 01 January 2009
GET THIS BOOKData Mining and Knowledge Discovery in Real Life Applications

This book presents four different ways of theoretical and practical advances and applications of data mining in different promising areas like Industrialist, Biological, and Social. Twenty six chapters cover different special topics with proposed novel ideas. Each chapter gives an overview of the subjects and some of the chapters have cases with offered data mining solutions. We hope that this book will be a useful aid in showing a right way for the students, researchers and practitioners in their studies.

Knowledge Discovery in Big Data from Astronomy and Earth Observation

Knowledge Discovery in Big Data from Astronomy and Earth Observation
  • Author : Petr Skoda,Fathalrahman Adam
  • Publisher : Elsevier
  • Release : 10 April 2020
GET THIS BOOKKnowledge Discovery in Big Data from Astronomy and Earth Observation

Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data

Scientific Data Mining and Knowledge Discovery

Scientific Data Mining and Knowledge Discovery
  • Author : Mohamed Medhat Gaber
  • Publisher : Springer Science & Business Media
  • Release : 19 September 2009
GET THIS BOOKScientific Data Mining and Knowledge Discovery

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

Spatio-Temporal Data Mining and Knowledge Discovery: Issues Overview

Spatio-Temporal Data Mining and Knowledge Discovery: Issues Overview
  • Author : Anonim
  • Publisher : Unknown Publisher
  • Release : 22 May 2022
GET THIS BOOKSpatio-Temporal Data Mining and Knowledge Discovery: Issues Overview

Data mining or knowledge discovery refers to a variety of techniques having the intent of uncovering useful patterns and associations from large databases. The initial steps of data mining are concerned with preparation of data, including data cleaning intended to resolve errors and missing data and integration of data from multiple heterogeneous sources. Next are the steps needed to prepare for actual data mining including the selection of the specific data relevant to the task and the transformation of this

Knowledge Discovery in the Social Sciences

Knowledge Discovery in the Social Sciences
  • Author : Xiaoling Shu
  • Publisher : University of California Press
  • Release : 04 February 2020
GET THIS BOOKKnowledge Discovery in the Social Sciences

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge.

Machine Learning and Artificial Intelligence in Geosciences

Machine Learning and Artificial Intelligence in Geosciences
  • Author : Anonim
  • Publisher : Academic Press
  • Release : 25 September 2020
GET THIS BOOKMachine Learning and Artificial Intelligence in Geosciences

Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well

Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook
  • Author : Oded Maimon,Oded Z. Maimon,Lior Rokach
  • Publisher : Springer Science & Business Media
  • Release : 22 May 2022
GET THIS BOOKData Mining and Knowledge Discovery Handbook

Organizes major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD). This book provides algorithmic descriptions of classic methods, and also suitable for professionals in fields such as computing applications, information systems management, and more.

Advances in Nonlinear Geosciences

Advances in Nonlinear Geosciences
  • Author : Anastasios A. Tsonis
  • Publisher : Springer
  • Release : 13 October 2017
GET THIS BOOKAdvances in Nonlinear Geosciences

Advances in Nonlinear Geosciences is a set of contributions from the participants of “30 Years of Nonlinear Dynamics” held July 3-8, 2016 in Rhodes, Greece as part of the Aegean Conferences, as well as from several other experts in the field who could not attend the meeting. The volume brings together up-to-date research from the atmospheric sciences, hydrology, geology, and other areas of geosciences and presents the new advances made in the last 10 years. Topics include chaos synchronization, topological data analysis, new

Advances in Data Mining Knowledge Discovery and Applications

Advances in Data Mining Knowledge Discovery and Applications
  • Author : Adem Karahoca
  • Publisher : BoD – Books on Demand
  • Release : 12 September 2012
GET THIS BOOKAdvances in Data Mining Knowledge Discovery and Applications

Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two

Earth Science

Earth Science
  • Author : Roy H. Williams
  • Publisher : CRC Press
  • Release : 15 December 2011
GET THIS BOOKEarth Science

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

Artificial Intelligent Approaches in Petroleum Geosciences

Artificial Intelligent Approaches in Petroleum Geosciences
  • Author : Constantin Cranganu,Henri Luchian,Mihaela Elena Breaban
  • Publisher : Springer
  • Release : 20 April 2015
GET THIS BOOKArtificial Intelligent Approaches in Petroleum Geosciences

This book presents several intelligent approaches for tackling and solving challenging practical problems facing those in the petroleum geosciences and petroleum industry. Written by experienced academics, this book offers state-of-the-art working examples and provides the reader with exposure to the latest developments in the field of intelligent methods applied to oil and gas research, exploration and production. It also analyzes the strengths and weaknesses of each method presented using benchmarking, whilst also emphasizing essential parameters such as robustness, accuracy, speed