Feature Extraction, Construction and Selection
Feature Extraction, Construction and Selection

Author: Huan Liu

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 418

ISBN-13: 1461557259

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There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem.

Mineral Deposits of North Africa
Mineral Deposits of North Africa

Author: Mohammed Bouabdellah

Publisher: Springer

Published: 2016-06-21

Total Pages: 585

ISBN-13: 3319317334

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This volume presents an exhaustive overview of major orebodies and mineral deposits of North Africa. It is intended both for academic researchers and especially for exploration geologists interested in mineral exploration in the northern part of the African continent. Recent changes in the mining laws of most countries in this region have encouraged international mining companies to invest in local mineral industries. Accordingly, this volume will be very useful for these professionals, as well as for researchers in the field of economic geology.

Geochemical Anomaly and Mineral Prospectivity Mapping in GIS
Geochemical Anomaly and Mineral Prospectivity Mapping in GIS

Author: E.J.M. Carranza

Publisher: Elsevier

Published: 2008-11-26

Total Pages: 365

ISBN-13: 008093031X

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Geochemical Anomaly and Mineral Prospectivity Mapping in GIS documents and explains, in three parts, geochemical anomaly and mineral prospectivity mapping by using a geographic information system (GIS). Part I reviews and couples the concepts of (a) mapping geochemical anomalies and mineral prospectivity and (b) spatial data models, management and operations in a GIS. Part II demonstrates GIS-aided and GIS-based techniques for analysis of robust thresholds in mapping of geochemical anomalies. Part III explains GIS-aided and GIS-based techniques for spatial data analysis and geo-information sybthesis for conceptual and predictive modeling of mineral prospectivity. Because methods of geochemical anomaly mapping and mineral potential mapping are highly specialized yet diverse, the book explains only methods in which GIS plays an important role. The book avoids using language and functional organization of particular commercial GIS software, but explains, where necessary, GIS functionality and spatial data structures appropriate to problems in geochemical anomaly mapping and mineral potential mapping. Because GIS-based methods of spatial data analysis and spatial data integration are quantitative, which can be complicated to non-numerate readers, the book simplifies explanations of mathematical concepts and their applications so that the methods demonstrated would be useful to professional geoscientists, to mineral explorationists and to research students in fields that involve analysis and integration of maps or spatial datasets. The book provides adequate illustrations for more thorough explanation of the various concepts. - Explains GIS functionality and spatial data structures appropriate regardless of the particular GIS software in use - Simplifies explanation of mathematical concepts and application - Illustrated for more thorough explanation of concepts

Statistics and Data Analysis in Geochemical Prospecting
Statistics and Data Analysis in Geochemical Prospecting

Author: R.J. Howarth

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 441

ISBN-13: 1483289729

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Handbook of Exploration Geochemistry, Volume 2: Statistics and Data Analysis in Geochemical Prospecting aims to survey the techniques available for the quality control of laboratory data, storage and retrieval of field and laboratory information, statistical analysis of single- and multi-element data, and presentation of geochemical data as maps. The selection first elaborates on data storage and retrieval, control procedures in geochemical analysis, and univariate analysis. Discussions focus on analysis of variance, density distribution, probability graphs, statistical basis of analytical quality control, laboratory control procedures, data storage media, data organization, programming considerations, and generalized data systems. The book then takes a look at sampling methodology, mapping, and multivariate analysis. Concerns cover correlation, cluster analysis, regression, partial correlation, class selection techniques, map filtering techniques, cross-correlation maps, strategies for optimum sampling design, and search techniques. The manuscript elaborates on examples of geochemical data processing in Africa, mathematical and statistical activity in North America, statistical models for geochemical anomalies, geochemical characterization of tin granites in northern Thailand, and use of pattern classification methods in till geochemistry. The selection is highly recommended for researchers interested in statistics and data analysis in geochemical prospecting.

Computer Applications in Resource Estimation
Computer Applications in Resource Estimation

Author: G. Gaal

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 480

ISBN-13: 1483287084

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Quantitative resource assessment methods play an increasing role in exploration for petroleum, water and minerals. This volume presents an international review on the state-of-the-art of the computerized methodology in resource exploration. The papers taken from those presented at the symposium are classified to either techniques, i.e., trend analysis; classification techniques; geostatistics; image analysis; expert systems/artificial intelligence; inventories; tomography and others, or to resources, i.e., petroleum, water, metals and non-metals.

Compositional Data Analysis
Compositional Data Analysis

Author: Josep Antoni Martín-Fernández

Publisher: Springer

Published: 2016-11-19

Total Pages: 211

ISBN-13: 3319448110

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The authoritative contributions gathered in this volume reflect the state of the art in compositional data analysis (CoDa). The respective chapters cover all aspects of CoDa, ranging from mathematical theory, statistical methods and techniques to its broad range of applications in geochemistry, the life sciences and other disciplines. The selected and peer-reviewed papers were originally presented at the 6th International Workshop on Compositional Data Analysis, CoDaWork 2015, held in L’Escala (Girona), Spain. Compositional data is defined as vectors of positive components and constant sum, and, more generally, all those vectors representing parts of a whole which only carry relative information. Examples of compositional data can be found in many different fields such as geology, chemistry, economics, medicine, ecology and sociology. As most of the classical statistical techniques are incoherent on compositions, in the 1980s John Aitchison proposed the log-ratio approach to CoDa. This became the foundation of modern CoDa, which is now based on a specific geometric structure for the simplex, an appropriate representation of the sample space of compositional data. The International Workshops on Compositional Data Analysis offer a vital discussion forum for researchers and practitioners concerned with the statistical treatment and modelling of compositional data or other constrained data sets and the interpretation of models and their applications. The goal of the workshops is to summarize and share recent developments, and to identify important lines of future research.