Combining Soft Computing And Statistical Methods In Data Analysis

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Combining Soft Computing and Statistical Methods in Data Analysis

Christian Borgelt,Gil González Rodríguez,Wolfgang Trutschnig,María Asunción Lubiano,María Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz
Combining Soft Computing and Statistical Methods in Data Analysis Book PDF

Author : Christian Borgelt,Gil González Rodríguez,Wolfgang Trutschnig,María Asunción Lubiano,María Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz
Publisher : Springer Science & Business Media
Page : 644 pages
File Size : 49,6 Mb
Release : 2010-10-12
Category : Technology & Engineering
ISBN : 9783642147463

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Combining Soft Computing and Statistical Methods in Data Analysis by Christian Borgelt,Gil González Rodríguez,Wolfgang Trutschnig,María Asunción Lubiano,María Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz Pdf

Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty) but also in the form of imprecision/fuzziness is but one point underlining the need for a widening of statistical tools. Most such extensions originate in a "softening" of classical methods, allowing, in particular, to work with imprecise or vague data, considering imprecise or generalized probabilities and fuzzy events, etc. About ten years ago the idea of establishing a recurrent forum for discussing new trends in the before-mentioned context was born and resulted in the first International Conference on Soft Methods in Probability and Statistics (SMPS) that was held in Warsaw in 2002. In the following years the conference took place in Oviedo (2004), in Bristol (2006) and in Toulouse (2008). In the current edition the conference returns to Oviedo. This edited volume is a collection of papers presented at the SMPS 2010 conference held in Mieres and Oviedo. It gives a comprehensive overview of current research into the fusion of soft methods with probability and statistics.

Towards Advanced Data Analysis by Combining Soft Computing and Statistics

Christian Borgelt,María Ángeles Gil,João M.C. Sousa,Michel Verleysen
Towards Advanced Data Analysis by Combining Soft Computing and Statistics Book PDF

Author : Christian Borgelt,María Ángeles Gil,João M.C. Sousa,Michel Verleysen
Publisher : Springer
Page : 378 pages
File Size : 50,8 Mb
Release : 2012-08-29
Category : Technology & Engineering
ISBN : 9783642302787

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Towards Advanced Data Analysis by Combining Soft Computing and Statistics by Christian Borgelt,María Ángeles Gil,João M.C. Sousa,Michel Verleysen Pdf

Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis. Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approaches. Its strength lies in its flexibility to create models that suit the needs arising in applications. In addition, it emphasizes the need for intuitive and interpretable models, which are tolerant to imprecision and uncertainty. Statistics is more rigorous and focuses on establishing objective conclusions based on experimental data by analyzing the possible situations and their (relative) likelihood. It emphasizes the need for mathematical methods and tools to assess solutions and guarantee performance. Combining the two fields enhances the robustness and generalizability of data analysis methods, while preserving the flexibility to solve real-world problems efficiently and intuitively.

Synergies of Soft Computing and Statistics for Intelligent Data Analysis

Rudolf Kruse,Michael R. Berthold,Christian Moewes,María Ángeles Gil,Przemysław Grzegorzewski,Olgierd Hryniewicz
Synergies of Soft Computing and Statistics for Intelligent Data Analysis Book PDF

Author : Rudolf Kruse,Michael R. Berthold,Christian Moewes,María Ángeles Gil,Przemysław Grzegorzewski,Olgierd Hryniewicz
Publisher : Springer Science & Business Media
Page : 555 pages
File Size : 45,6 Mb
Release : 2012-09-13
Category : Technology & Engineering
ISBN : 9783642330421

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Synergies of Soft Computing and Statistics for Intelligent Data Analysis by Rudolf Kruse,Michael R. Berthold,Christian Moewes,María Ángeles Gil,Przemysław Grzegorzewski,Olgierd Hryniewicz Pdf

In recent years there has been a growing interest to extend classical methods for data analysis. The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance. Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness --- various types of incomplete or subjective information have to be handled. About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS). This book gathers contributions presented at the SMPS'2012 held in Konstanz, Germany. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.

Strengthening Links Between Data Analysis and Soft Computing

Przemyslaw Grzegorzewski,Marek Gagolewski,Olgierd Hryniewicz,María Ángeles Gil
Strengthening Links Between Data Analysis and Soft Computing Book PDF

Author : Przemyslaw Grzegorzewski,Marek Gagolewski,Olgierd Hryniewicz,María Ángeles Gil
Publisher : Springer
Page : 294 pages
File Size : 54,6 Mb
Release : 2014-09-10
Category : Technology & Engineering
ISBN : 9783319107653

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Strengthening Links Between Data Analysis and Soft Computing by Przemyslaw Grzegorzewski,Marek Gagolewski,Olgierd Hryniewicz,María Ángeles Gil Pdf

This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.

Soft Methods for Data Science

Maria Brigida Ferraro,Paolo Giordani,Barbara Vantaggi,Marek Gagolewski,María Ángeles Gil,Przemysław Grzegorzewski,Olgierd Hryniewicz
Soft Methods for Data Science Book PDF

Author : Maria Brigida Ferraro,Paolo Giordani,Barbara Vantaggi,Marek Gagolewski,María Ángeles Gil,Przemysław Grzegorzewski,Olgierd Hryniewicz
Publisher : Springer
Page : 535 pages
File Size : 45,7 Mb
Release : 2016-08-30
Category : Technology & Engineering
ISBN : 9783319429724

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Soft Methods for Data Science by Maria Brigida Ferraro,Paolo Giordani,Barbara Vantaggi,Marek Gagolewski,María Ángeles Gil,Przemysław Grzegorzewski,Olgierd Hryniewicz Pdf

This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science.

Uncertainty Analysis in Econometrics with Applications

Van-Nam Huynh,Vladik Kreinovich,Songsak Sriboonchitta,Komsan Suriya
Uncertainty Analysis in Econometrics with Applications Book PDF

Author : Van-Nam Huynh,Vladik Kreinovich,Songsak Sriboonchitta,Komsan Suriya
Publisher : Springer Science & Business Media
Page : 319 pages
File Size : 44,5 Mb
Release : 2012-12-14
Category : Technology & Engineering
ISBN : 9783642354434

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Uncertainty Analysis in Econometrics with Applications by Van-Nam Huynh,Vladik Kreinovich,Songsak Sriboonchitta,Komsan Suriya Pdf

Unlike uncertain dynamical systems in physical sciences where models for prediction are somewhat given to us by physical laws, uncertain dynamical systems in economics need statistical models. In this context, modeling and optimization surface as basic ingredients for fruitful applications. This volume concentrates on the current methodology of copulas and maximum entropy optimization. This volume contains main research presentations at the Sixth International Conference of the Thailand Econometrics Society held at the Faculty of Economics, Chiang Mai University, Thailand, during January 10-11, 2013. It consists of keynote addresses, theoretical and applied contributions. These contributions to Econometrics are somewhat centered around the theme of Copulas and Maximum Entropy Econometrics. The method of copulas is applied to a variety of economic problems where multivariate model building and correlation analysis are needed. As for the art of choosing copulas in practical problems, the principle of maximum entropy surfaces as a potential way to do so. The state-of-the-art of Maximum Entropy Econometrics is presented in the first keynote address, while the second keynote address focusses on testing stationarity in economic time series data.

Fuzziness and Medicine: Philosophical Reflections and Application Systems in Health Care

Rudolf Seising,Marco Elio Tabacchi
Fuzziness and Medicine Philosophical Reflections and Application Systems in Health Care Book PDF

Author : Rudolf Seising,Marco Elio Tabacchi
Publisher : Springer
Page : 447 pages
File Size : 52,5 Mb
Release : 2013-03-01
Category : Technology & Engineering
ISBN : 9783642365270

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Fuzziness and Medicine: Philosophical Reflections and Application Systems in Health Care by Rudolf Seising,Marco Elio Tabacchi Pdf

This book is a collection of contributions written by philosophers and scientists active in different fields, such as mathematics, logics, social sciences, computer sciences and linguistics. They comment on and discuss various parts of and subjects and propositions introduced in the Handbook of Analytical Philosophy of Medicine from Kadem Sadegh-Zadeh, published by Springer in 2012. This volume reports on the fruitful exchange and debate that arose in the fuzzy community upon the publication of the Handbook. This was not only very much appreciated by the community but also seen as a critical starting point for beginning a new discussion. The results of this discussion, which involved many different perspectives from science and the humanities and was warmly encouraged by Kadem Sadegh-Zadeh himself, are accurately reported in this volume, which is intended to be a critical companion to Kadem Sadegh-Zadeh ́s handbook. Rudolf Seising is currently an adjunct researcher at the European Centre for Soft Computing in Mieres, Asturias (Spain) and a college lecturer at the Faculty of History and Arts, at the Ludwig Maximilians University of Munich (Germany). Marco Elio Tabacchi is currently the Scientific Director of the Italian National Research & Survey Organization Demopolis, and a research assistant in the Soft Computing Group at University of Palermo (Italy).

Building Bridges between Soft and Statistical Methodologies for Data Science

Luis A. García-Escudero,Alfonso Gordaliza,Agustín Mayo,María Asunción Lubiano Gomez,Maria Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz
Building Bridges between Soft and Statistical Methodologies for Data Science Book PDF

Author : Luis A. García-Escudero,Alfonso Gordaliza,Agustín Mayo,María Asunción Lubiano Gomez,Maria Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz
Publisher : Springer Nature
Page : 421 pages
File Size : 51,8 Mb
Release : 2022-08-24
Category : Computers
ISBN : 9783031155093

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Building Bridges between Soft and Statistical Methodologies for Data Science by Luis A. García-Escudero,Alfonso Gordaliza,Agustín Mayo,María Asunción Lubiano Gomez,Maria Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz Pdf

Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science. This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.

Synergies of Soft Computing and Statistics for Intelligent Data Analysis

Rudolf Kruse,Michael R. Berthold,Christian Moewes,María Ángeles Gil,Przemysław Grzegorzewski,Olgierd Hryniewicz
Synergies of Soft Computing and Statistics for Intelligent Data Analysis Book PDF

Author : Rudolf Kruse,Michael R. Berthold,Christian Moewes,María Ángeles Gil,Przemysław Grzegorzewski,Olgierd Hryniewicz
Publisher : Springer
Page : 584 pages
File Size : 49,9 Mb
Release : 2012-09-14
Category : Computers
ISBN : 3642330436

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Synergies of Soft Computing and Statistics for Intelligent Data Analysis by Rudolf Kruse,Michael R. Berthold,Christian Moewes,María Ángeles Gil,Przemysław Grzegorzewski,Olgierd Hryniewicz Pdf

In recent years there has been a growing interest to extend classical methods for data analysis. The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance. Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness --- various types of incomplete or subjective information have to be handled. About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS). This book gathers contributions presented at the SMPS'2012 held in Konstanz, Germany. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.

Quantitative Logic and Soft Computing

Bing-Yuan Cao,Shuili Chen,Guojun Wang,Sicong Guo
Quantitative Logic and Soft Computing Book PDF

Author : Bing-Yuan Cao,Shuili Chen,Guojun Wang,Sicong Guo
Publisher : Springer Science & Business Media
Page : 800 pages
File Size : 45,7 Mb
Release : 2010-10-14
Category : Technology & Engineering
ISBN : 9783642156601

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Quantitative Logic and Soft Computing by Bing-Yuan Cao,Shuili Chen,Guojun Wang,Sicong Guo Pdf

Admittedly, the notion “intelligence or intelligent computing” has been around us for several decades, implicitly indicating any non-conventional methods of solving complex system problems such as expert systems and intelligent control techniques that mimic human skill and replace human operators for automation. Various kinds of intelligent methods have been suggested, phenomenological or ontological, and we have been witnessing quite successful applications. On the other hand, “Soft Computing Techniques” is the concept coined by Lot? Zadeh, referring to “a set of approaches of computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty, imprecision and partial truth. ” Such a notion is well contrasted with the conventionalbinary logic based hard c- puting and has been effectively utilized with the guiding principle of “exploiting the tolerance for uncertainty,imprecision and partial truth to achieve tractability, - bustness and low solution cost. ” The soft computing techniques are often employed as the technical entities in a tool box with tools being FL, ANN, Rough Set, GA etc. Based on one’s intuition and experience, an engineer can build and realize hum- like systems by smartly mixing proper technical tools effectivelyand ef?ciently in a wide range of ?elds. For some time, the soft computing techniques are also referred to as intelligent computing tools.

Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011

Emilio Corchado,Vaclav Snasael,Javier Sedano,Aboul Ella Hassanien,José Luis Calvo,Dominik Slezak
Soft Computing Models in Industrial and Environmental Applications 6th International Conference SOCO 2011 Book PDF

Author : Emilio Corchado,Vaclav Snasael,Javier Sedano,Aboul Ella Hassanien,José Luis Calvo,Dominik Slezak
Publisher : Springer Science & Business Media
Page : 624 pages
File Size : 44,9 Mb
Release : 2011-03-04
Category : Technology & Engineering
ISBN : 9783642196447

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Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 by Emilio Corchado,Vaclav Snasael,Javier Sedano,Aboul Ella Hassanien,José Luis Calvo,Dominik Slezak Pdf

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2011 held in the beautiful and historic city of Salamanca, Spain, April 2011. This volume presents the papers accepted for the 2011 edition, both for the main event and the Special Sessions. SOCO 2011 Special Sessions are a very useful tool in order to complement the regular program with new or emerging topics of particular interest to the participating community. Four special sessions were organized related to relevant topics as: Optimization and Control in Industry, Speech Processing and Soft Computing, Systems, Man & Cybernetics and Soft Computing for Medical Applications.

Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications

Marie-Jeanne Lesot,Christophe Marsala
Fuzzy Approaches for Soft Computing and Approximate Reasoning Theories and Applications Book PDF

Author : Marie-Jeanne Lesot,Christophe Marsala
Publisher : Springer Nature
Page : 305 pages
File Size : 53,8 Mb
Release : 2020-10-26
Category : Technology & Engineering
ISBN : 9783030543419

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Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications by Marie-Jeanne Lesot,Christophe Marsala Pdf

This book gathers cutting-edge papers in the area of Computational Intelligence, presented by specialists, and covering all major trends in the research community in order to provide readers with a rich primer. It presents an overview of various soft computing topics and approximate reasoning-based approaches, both from theoretical and applied perspectives. Numerous topics are covered: fundamentals aspects of fuzzy sets theory, reasoning approaches (interpolative, analogical, similarity-based), decision and optimization theory, fuzzy databases, soft machine learning, summarization, interpretability and XAI. Moreover, several application-based papers are included, e.g. on image processing, semantic web and intelligent tutoring systems. This book is dedicated to Bernadette Bouchon-Meunier in honor of her achievements in Computational Intelligence, which, throughout her career, have included profuse and diverse collaborations, both thematically and geographically.

Data Science for Financial Econometrics

Nguyen Ngoc Thach,Vladik Kreinovich,Nguyen Duc Trung
Data Science for Financial Econometrics Book PDF

Author : Nguyen Ngoc Thach,Vladik Kreinovich,Nguyen Duc Trung
Publisher : Springer Nature
Page : 633 pages
File Size : 40,7 Mb
Release : 2020-11-13
Category : Computers
ISBN : 9783030488536

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Data Science for Financial Econometrics by Nguyen Ngoc Thach,Vladik Kreinovich,Nguyen Duc Trung Pdf

This book offers an overview of state-of-the-art econometric techniques, with a special emphasis on financial econometrics. There is a major need for such techniques, since the traditional way of designing mathematical models – based on researchers’ insights – can no longer keep pace with the ever-increasing data flow. To catch up, many application areas have begun relying on data science, i.e., on techniques for extracting models from data, such as data mining, machine learning, and innovative statistics. In terms of capitalizing on data science, many application areas are way ahead of economics. To close this gap, the book provides examples of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques.

Fuzzy Statistical Inferences Based on Fuzzy Random Variables

Gholamreza Hesamian
Fuzzy Statistical Inferences Based on Fuzzy Random Variables Book PDF

Author : Gholamreza Hesamian
Publisher : CRC Press
Page : 452 pages
File Size : 55,6 Mb
Release : 2022-02-24
Category : Mathematics
ISBN : 9781000539820

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Fuzzy Statistical Inferences Based on Fuzzy Random Variables by Gholamreza Hesamian Pdf

This book presents the most commonly used techniques for the most statistical inferences based on fuzzy data. It brings together many of the main ideas used in statistical inferences in one place, based on fuzzy information including fuzzy data. This book covers a much wider range of topics than a typical introductory text on fuzzy statistics. It includes common topics like elementary probability, descriptive statistics, hypothesis tests, one-way ANOVA, control-charts, reliability systems and regression models. The reader is assumed to know calculus and a little fuzzy set theory. The conventional knowledge of probability and statistics is required. Key Features: Includes example in Mathematica and MATLAB. Contains theoretical and applied exercises for each section. Presents various popular methods for analyzing fuzzy data. The book is suitable for students and researchers in statistics, social science, engineering, and economics, and it can be used at graduate and P.h.D level.

Guide to Intelligent Data Analysis

Michael R. Berthold,Christian Borgelt,Frank Höppner,Frank Klawonn
Guide to Intelligent Data Analysis Book PDF

Author : Michael R. Berthold,Christian Borgelt,Frank Höppner,Frank Klawonn
Publisher : Springer Science & Business Media
Page : 399 pages
File Size : 48,6 Mb
Release : 2010-06-23
Category : Computers
ISBN : 9781848822603

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Guide to Intelligent Data Analysis by Michael R. Berthold,Christian Borgelt,Frank Höppner,Frank Klawonn Pdf

Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle – solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of “drowning in information, but starving for knowledge” the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examples to support pedagogical exposition. This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one’s exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.