Data Analysis And Related Applications Volume 1

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Data Analysis and Related Applications, Volume 1

Konstantinos N. Zafeiris,Christos H. Skiadas,Yiannis Dimotikalis,Alex Karagrigoriou,Christiana Karagrigoriou-Vonta
Data Analysis and Related Applications Volume 1 Book PDF

Author : Konstantinos N. Zafeiris,Christos H. Skiadas,Yiannis Dimotikalis,Alex Karagrigoriou,Christiana Karagrigoriou-Vonta
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 48,5 Mb
Release : 2022-08-17
Category : Computers
ISBN : 9781394165506

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Data Analysis and Related Applications, Volume 1 by Konstantinos N. Zafeiris,Christos H. Skiadas,Yiannis Dimotikalis,Alex Karagrigoriou,Christiana Karagrigoriou-Vonta Pdf

The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.

Data Analysis and Applications 1

Christos H. Skiadas,James R. Bozeman
Data Analysis and Applications 1 Book PDF

Author : Christos H. Skiadas,James R. Bozeman
Publisher : John Wiley & Sons
Page : 286 pages
File Size : 44,6 Mb
Release : 2019-05-21
Category : Mathematics
ISBN : 9781786303820

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Data Analysis and Applications 1 by Christos H. Skiadas,James R. Bozeman Pdf

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.

Data Analysis and Related Applications, Volume 1

Konstantinos N. Zafeiris,Christos H. Skiadas,Yiannis Dimotikalis,Alex Karagrigoriou,Christiana Karagrigoriou-Vonta
Data Analysis and Related Applications Volume 1 Book PDF

Author : Konstantinos N. Zafeiris,Christos H. Skiadas,Yiannis Dimotikalis,Alex Karagrigoriou,Christiana Karagrigoriou-Vonta
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 46,6 Mb
Release : 2022-11-01
Category : Computers
ISBN : 9781786307712

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Data Analysis and Related Applications, Volume 1 by Konstantinos N. Zafeiris,Christos H. Skiadas,Yiannis Dimotikalis,Alex Karagrigoriou,Christiana Karagrigoriou-Vonta Pdf

The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.

Data Analysis and Applications 1

Christos H. Skiadas,James R. Bozeman
Data Analysis and Applications 1 Book PDF

Author : Christos H. Skiadas,James R. Bozeman
Publisher : John Wiley & Sons
Page : 286 pages
File Size : 47,8 Mb
Release : 2019-03-04
Category : Mathematics
ISBN : 9781119597575

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Data Analysis and Applications 1 by Christos H. Skiadas,James R. Bozeman Pdf

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.

Data Analysis and Related Applications, Volume 2

Konstantinos N. Zafeiris,Christos H. Skiadas,Yiannis Dimotikalis,Alex Karagrigoriou,Christiana Karagrigoriou-Vonta
Data Analysis and Related Applications Volume 2 Book PDF

Author : Konstantinos N. Zafeiris,Christos H. Skiadas,Yiannis Dimotikalis,Alex Karagrigoriou,Christiana Karagrigoriou-Vonta
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 46,7 Mb
Release : 2022-10-25
Category : Computers
ISBN : 9781786307729

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Data Analysis and Related Applications, Volume 2 by Konstantinos N. Zafeiris,Christos H. Skiadas,Yiannis Dimotikalis,Alex Karagrigoriou,Christiana Karagrigoriou-Vonta Pdf

The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.

Multi- and Megavariate Data Analysis Basic Principles and Applications

L. Eriksson,T. Byrne,E. Johansson,J. Trygg,C. Vikström
Multi and Megavariate Data Analysis Basic Principles and Applications Book PDF

Author : L. Eriksson,T. Byrne,E. Johansson,J. Trygg,C. Vikström
Publisher : Umetrics Academy
Page : 509 pages
File Size : 55,5 Mb
Release : 2013-07-01
Category : Mathematics
ISBN : 9789197373050

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Multi- and Megavariate Data Analysis Basic Principles and Applications by L. Eriksson,T. Byrne,E. Johansson,J. Trygg,C. Vikström Pdf

To understand the world around us, as well as ourselves, we need to measure many things, many variables, many properties of the systems and processes we investigate. Hence, data collected in science, technology, and almost everywhere else are multivariate, a data table with multiple variables measured on multiple observations (cases, samples, items, process time points, experiments). This book describes a remarkably simple minimalistic and practical approach to the analysis of data tables (multivariate data). The approach is based on projection methods, which are PCA (principal components analysis), and PLS (projection to latent structures) and the book shows how this works in science and technology for a wide variety of applications. In particular, it is shown how the great information content in well collected multivariate data can be expressed in terms of simple but illuminating plots, facilitating the understanding and interpretation of the data. The projection approach applies to a variety of data-analytical objectives, i.e., (i) summarizing and visualizing a data set, (ii) multivariate classification and discriminant analysis, and (iii) finding quantitative relationships among the variables. This works with any shape of data table, with many or few variables (columns), many or few observations (rows), and complete or incomplete data tables (missing data). In particular, projections handle data matrices with more variables than observations very well, and the data can be noisy and highly collinear. Authors: The five authors are all connected to the Umetrics company (www.umetrics.com) which has developed and sold software for multivariate analysis since 1987, as well as supports customers with training and consultations. Umetrics' customers include most large and medium sized companies in the pharmaceutical, biopharm, chemical, and semiconductor sectors.

Compositional Data Analysis

Vera Pawlowsky-Glahn,Antonella Buccianti
Compositional Data Analysis Book PDF

Author : Vera Pawlowsky-Glahn,Antonella Buccianti
Publisher : John Wiley & Sons
Page : 401 pages
File Size : 53,9 Mb
Release : 2011-09-19
Category : Mathematics
ISBN : 9780470711354

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Compositional Data Analysis by Vera Pawlowsky-Glahn,Antonella Buccianti Pdf

It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. The issue of ``spurious correlation'', as the situation was phrased by Karl Pearson back in 1897, affects all data that measures parts of some whole, such as percentages, proportions, ppm and ppb. Such measurements are present in all fields of science, ranging from geology, biology, environmental sciences, forensic sciences, medicine and hydrology. This book presents the history and development of compositional data analysis along with Aitchison's log-ratio approach. Compositional Data Analysis describes the state of the art both in theoretical fields as well as applications in the different fields of science. Key Features: Reflects the state-of-the-art in compositional data analysis. Gives an overview of the historical development of compositional data analysis, as well as basic concepts and procedures. Looks at advances in algebra and calculus on the simplex. Presents applications in different fields of science, including, genomics, ecology, biology, geochemistry, planetology, chemistry and economics. Explores connections to correspondence analysis and the Dirichlet distribution. Presents a summary of three available software packages for compositional data analysis. Supported by an accompanying website featuring R code. Applied scientists working on compositional data analysis in any field of science, both in academia and professionals will benefit from this book, along with graduate students in any field of science working with compositional data.

Classification and Data Analysis

Krzysztof Jajuga,Jacek Batóg,Marek Walesiak
Classification and Data Analysis Book PDF

Author : Krzysztof Jajuga,Jacek Batóg,Marek Walesiak
Publisher : Springer Nature
Page : 334 pages
File Size : 55,5 Mb
Release : 2020-08-28
Category : Business & Economics
ISBN : 9783030523480

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Classification and Data Analysis by Krzysztof Jajuga,Jacek Batóg,Marek Walesiak Pdf

This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18–20, 2019. Providing a balance between theoretical and methodological contributions and empirical papers, it covers a broad variety of topics, ranging from multivariate data analysis, classification and regression, symbolic (and other) data analysis, visualization, data mining, and computer methods to composite measures, and numerous applications of data analysis methods in economics, finance and other social sciences. The book is intended for a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.

Big and Complex Data Analysis

S. Ejaz Ahmed
Big and Complex Data Analysis Book PDF

Author : S. Ejaz Ahmed
Publisher : Springer
Page : 386 pages
File Size : 51,7 Mb
Release : 2017-03-21
Category : Mathematics
ISBN : 9783319415734

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Big and Complex Data Analysis by S. Ejaz Ahmed Pdf

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field. The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of the key statistical problems involved in analyzing such big and complex data. The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for future research in the theory of regularization methods, in algorithmic development, and in methodologies for different application areas; and 3) facilitate collaboration between theoretical and subject-specific researchers.

Classification, Data Analysis, and Knowledge Organization

Hans-Hermann Bock,Peter Ihm
Classification Data Analysis and Knowledge Organization Book PDF

Author : Hans-Hermann Bock,Peter Ihm
Publisher : Springer Science & Business Media
Page : 404 pages
File Size : 51,7 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642763076

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Classification, Data Analysis, and Knowledge Organization by Hans-Hermann Bock,Peter Ihm Pdf

In science, industry, public administration and documentation centers large amounts of data and information are collected which must be analyzed, ordered, visualized, classified and stored efficiently in order to be useful for practical applications. This volume contains 50 selected theoretical and applied papers presenting a wealth of new and innovative ideas, methods, models and systems which can be used for this purpose. It combines papers and strategies from two main streams of research in an interdisciplinary, dynamic and exciting way: On the one hand, mathematical and statistical methods are described which allow a quantitative analysis of data, provide strategies for classifying objects or making exploratory searches for interesting structures, and give ways to make comprehensive graphical displays of large arrays of data. On the other hand, papers related to information sciences, informatics and data bank systems provide powerful tools for representing, modelling, storing and retrieving facts, data and knowledge characterized by qualitative descriptors, semantic relations, or linguistic concepts. The integration of both fields and a special part on applied problems from biology, medicine, archeology, industry and administration assure that this volume will be informative and useful for theory and practice.

Correlated Data Analysis: Modeling, Analytics, and Applications

Xue-Kun Song,Peter X. -K. Song
Correlated Data Analysis Modeling Analytics and Applications Book PDF

Author : Xue-Kun Song,Peter X. -K. Song
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 48,6 Mb
Release : 2007-07-27
Category : Mathematics
ISBN : 9780387713922

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Correlated Data Analysis: Modeling, Analytics, and Applications by Xue-Kun Song,Peter X. -K. Song Pdf

This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas.

Handbook of Statistical Analysis and Data Mining Applications

Robert Nisbet,Gary Miner,Ken Yale
Handbook of Statistical Analysis and Data Mining Applications Book PDF

Author : Robert Nisbet,Gary Miner,Ken Yale
Publisher : Elsevier
Page : 822 pages
File Size : 52,6 Mb
Release : 2017-11-09
Category : Mathematics
ISBN : 9780124166455

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Handbook of Statistical Analysis and Data Mining Applications by Robert Nisbet,Gary Miner,Ken Yale Pdf

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Intelligent Data Analysis and Applications

Jeng-Shyang Pan,Václav Snášel,Tien-Wen Sung,Xiao Dong Wang
Intelligent Data Analysis and Applications Book PDF

Author : Jeng-Shyang Pan,Václav Snášel,Tien-Wen Sung,Xiao Dong Wang
Publisher : Springer
Page : 288 pages
File Size : 43,7 Mb
Release : 2016-10-19
Category : Technology & Engineering
ISBN : 9783319484990

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Intelligent Data Analysis and Applications by Jeng-Shyang Pan,Václav Snášel,Tien-Wen Sung,Xiao Dong Wang Pdf

This book gathers papers presented at the ECC 2016, the Third Euro-China Conference on Intelligent Data Analysis and Applications, which was held in Fuzhou City, China from November 7 to 9, 2016. The aim of the ECC is to provide an internationally respected forum for scientific research in the broad areas of intelligent data analysis, computational intelligence, signal processing, and all associated applications of artificial intelligence (AI). The third installment of the ECC was jointly organized by Fujian University of Technology, China, and VSB-Technical University of Ostrava, Czech Republic. The conference was co-sponsored by Taiwan Association for Web Intelligence Consortium, and Immersion Co., Ltd.

Concept Data Analysis

Claudio Carpineto,Giovanni Romano
Concept Data Analysis Book PDF

Author : Claudio Carpineto,Giovanni Romano
Publisher : John Wiley & Sons
Page : 220 pages
File Size : 47,6 Mb
Release : 2004-10-22
Category : Computers
ISBN : 9780470011287

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Concept Data Analysis by Claudio Carpineto,Giovanni Romano Pdf

With the advent of the Web along with the unprecedented amount of information available in electronic format, conceptual data analysis is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for information. Concept Data Analysis: Theory & Applications is the first book that provides a comprehensive treatment of the full range of algorithms available for conceptual data analysis, spanning creation, maintenance, display and manipulation of concept lattices. The accompanying website allows you to gain a greater understanding of the principles covered in the book through actively working on the topics discussed. The three main areas explored are interactive mining of documents or collections of documents (including Web documents), automatic text ranking, and rule mining from structured data. The potentials of conceptual data analysis in the application areas being considered are further illustrated by two detailed case studies. Concept Data Analysis: Theory & Applications is essential for researchers active in information processing and management and industry practitioners who are interested in creating a commercial product for conceptual data analysis or developing content management applications.

Data Analysis and Related Applications 3

Yiannis Dimotikalis,Christos H. Skiadas
Data Analysis and Related Applications 3 Book PDF

Author : Yiannis Dimotikalis,Christos H. Skiadas
Publisher : John Wiley & Sons
Page : 308 pages
File Size : 55,9 Mb
Release : 2024-05-21
Category : Computers
ISBN : 9781786309624

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Data Analysis and Related Applications 3 by Yiannis Dimotikalis,Christos H. Skiadas Pdf

The book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications. The published data analysis methodology includes the updated state-of-the-art rapidly developed theory and applications of data expansion, both of which go through outstanding changes nowadays. New approaches are expected to deliver and have been developed, including Artificial Intelligence.