Entropy Measures For Data Analysis

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Entropy Measures For Data Analysis
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Author : Karsten Keller
language : en
Publisher: MDPI
Release Date : 2019-12-19
Entropy Measures For Data Analysis written by Karsten Keller and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-19 with Science categories.
Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range from biosignal analysis to econophysics and engineering. This issue is a collection of papers touching on different aspects of entropy measures in data analysis, as well as theoretical and computational analyses. The relevant topics include the difficulty to achieve adequate application of entropy measures and the acceptable parameter choices for those entropy measures, entropy-based coupling, and similarity analysis, along with the utilization of entropy measures as features in automatic learning and classification. Various real data applications are given.
Entropy Measures For Data Analysis Theory Algorithms And Applications
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Author : Karsten Keller
language : en
Publisher:
Release Date : 2019
Entropy Measures For Data Analysis Theory Algorithms And Applications written by Karsten Keller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Engineering (General). Civil engineering (General) categories.
Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range from biosignal analysis to econophysics and engineering. This issue is a collection of papers touching on different aspects of entropy measures in data analysis, as well as theoretical and computational analyses. The relevant topics include the difficulty to achieve adequate application of entropy measures and the acceptable parameter choices for those entropy measures, entropy-based coupling, and similarity analysis, along with the utilization of entropy measures as features in automatic learning and classification. Various real data applications are given.
Entropy Measures For Environmental Data
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Author : Linda Altieri
language : en
Publisher: Springer Nature
Release Date : 2024-07-15
Entropy Measures For Environmental Data written by Linda Altieri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-15 with Science categories.
This book shows how to successfully adapt entropy measures to the complexity of environmental data. It also provides a unified framework that covers all main entropy and spatial entropy measures in the literature, with suggestions for their potential use in the analysis of environmental data such as biodiversity, land use and other phenomena occurring over space or time, or both. First, recent literature reviews about including spatial information in traditional entropy measures are presented, highlighting the advantages and disadvantages of past approaches and the difference in interpretation of their proposals. A consistent notation applicable to all approaches is introduced, and the authors’ own proposal is presented. Second, the use of entropy in spatial sampling is focused on, and a method with an outstanding performance when data show a negative or complex spatial correlation is proposed. The last part of the book covers estimating entropy and proposes a model-based approach that differs from all existing estimators, working with data presenting any departure from independence: presence of covariates, temporal or spatial correlation, or both. The theoretical parts are supported by environmental examples covering point data about biodiversity and lattice data about land use. Moreover, a practical section is provided for all parts of the book; in particular, the R package SpatEntropy covers not only the authors’ novel proposals, but also all the main entropy and spatial entropy indices available in the literature. R codes are supplemented to reproduce all the examples. This book is a valuable resource for students and researchers in applied sciences where the use of entropy measures is of interest and where data present dependence on space, time or covariates, such as geography, ecology, biology and landscape analysis.
Entropy Measures Maximum Entropy Principle And Emerging Applications
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Author : Karmeshu
language : en
Publisher: Springer
Release Date : 2012-10-01
Entropy Measures Maximum Entropy Principle And Emerging Applications written by Karmeshu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-01 with Technology & Engineering categories.
The last two decades have witnessed an enormous growth with regard to ap plications of information theoretic framework in areas of physical, biological, engineering and even social sciences. In particular, growth has been spectac ular in the field of information technology,soft computing,nonlinear systems and molecular biology. Claude Shannon in 1948 laid the foundation of the field of information theory in the context of communication theory. It is in deed remarkable that his framework is as relevant today as was when he 1 proposed it. Shannon died on Feb 24, 2001. Arun Netravali observes "As if assuming that inexpensive, high-speed processing would come to pass, Shan non figured out the upper limits on communication rates. First in telephone channels, then in optical communications, and now in wireless, Shannon has had the utmost value in defining the engineering limits we face". Shannon introduced the concept of entropy. The notable feature of the entropy frame work is that it enables quantification of uncertainty present in a system. In many realistic situations one is confronted only with partial or incomplete information in the form of moment, or bounds on these values etc. ; and it is then required to construct a probabilistic model from this partial information. In such situations, the principle of maximum entropy provides a rational ba sis for constructing a probabilistic model. It is thus necessary and important to keep track of advances in the applications of maximum entropy principle to ever expanding areas of knowledge.
Medical Data Analysis
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Author : Rüdiger Brause
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-09-13
Medical Data Analysis written by Rüdiger Brause 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 2000-09-13 with Computers categories.
It is a pleasure for us to present the contributions of the First International Symposium on Medical Data Analysis. Traditionally, the eld of medical data analysis can be devided into classical topics such as medical statistics, sur- val analysis, biometrics and medical informatics. Recently, however, time series analysis by physicists, machine learning and data mining with methods such as neural networks, Bayes networks or fuzzy computing by computer scientists have contributed important ideas to the led of medical data analysis. Although all these groups have similar intentions, there was nearly no exchange or discussion between them. With the growing possibilities for storing and ana- zing patient data, even in smaller health care institutions, the need for a rational treatment of all these data emerged as well. Therefore, the need for data exchange and presentation systems grew also. The goal of the symposium is to collect all these relevant aspects together. It provides an international forum for the sharing and exchange of original re- arch results, ideas and practical experiences among researchers and application developers from di erent areas related to medical applications dealing with the analysis of medical data. After a thorough reviewing process, 33 high quality papers were selected from the 45 international submissions. These contributions provided the di erent - pects of the eld in order to represent us with an exciting program.
Innovations And Challenges In Computing Games And Data Science
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Author : Bijalwan, Anchit
language : en
Publisher: IGI Global
Release Date : 2025-05-21
Innovations And Challenges In Computing Games And Data Science written by Bijalwan, Anchit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Computers categories.
The fields of computing, games, and data science have seen rapid advancements, driving transformative changes across industries and society at large. Innovations in computing hardware and software push innovative boundaries, from quantum computing to artificial intelligence. In the gaming world, immersive technologies like virtual reality, augmented reality, and real-time multiplayer experiences redefine entertainment. Data science emerges as a key driver in decision-making, powering insights across industries like healthcare to finance. However, significant challenges remain, including ethical concerns, privacy issues, digital divisions, and environmental impacts. Together, these innovations and challenges shape the future of human-computer interaction and its role in daily life. Innovations and Challenges in Computing, Games, and Data Science explores the latest developments and research in computing and emerging technologies that shape a more sustainable future. It examines various challenges in sustainable computing, games, and data science. This book covers topics such as consumer science, entrepreneurship, and compliance monitoring, and is a useful resource for business owners, computer engineers, software developers, academicians, researchers, and data scientists.
Statistical Models For Data Analysis
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Author : Paolo Giudici
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-07-01
Statistical Models For Data Analysis written by Paolo Giudici 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 2013-07-01 with Mathematics categories.
The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society.
Rough Sets And Current Trends In Computing
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Author : Marcin Szczuka
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-09
Rough Sets And Current Trends In Computing written by Marcin Szczuka 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 2010-06-09 with Computers categories.
This book constitutes the refereed proceedings of the 7th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2010, held in Warsaw, Poland, in June 2010.
Data Analysis In Cosmology
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Author : Vicent J. Martinez
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-15
Data Analysis In Cosmology written by Vicent J. Martinez 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 2009-03-15 with Science categories.
The amount of cosmological data has dramatically increased in the past decades due to an unprecedented development of telescopes, detectors and satellites. Efficiently handling and analysing new data of the order of terabytes per day requires not only computer power to be processed but also the development of sophisticated algorithms and pipelines. Aiming at students and researchers the lecture notes in this volume explain in pedagogical manner the best techniques used to extract information from cosmological data, as well as reliable methods that should help us improve our view of the universe.
Signal Processing And Multimedia
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Author : Sankar Kumar Pal
language : en
Publisher: Springer
Release Date : 2010-11-25
Signal Processing And Multimedia written by Sankar Kumar Pal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-25 with Computers categories.
Welcome to the proceedings of the 2010 International Conferences on Signal Proce- ing, Image Processing and Pattern Recognition (SIP 2010), and Multimedia, C- puter Graphics and Broadcasting (MulGraB 2010) – two of the partnering events of the Second International Mega-Conference on Future Generation Information Te- nology (FGIT 2010). SIP and MulGraB bring together researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted - pects of image, signal, and multimedia processing, including their links to compu- tional sciences, mathematics and information technology. In total, 1,630 papers were submitted to FGIT 2010 from 30 countries, which - cludes 225 papers submitted to SIP/MulGraB 2010. The submitted papers went through a rigorous reviewing process: 395 of the 1,630 papers were accepted for FGIT 2010, while 53 papers were accepted for SIP/MulGraB 2010. Of the 53 papers 8 were selected for the special FGIT 2010 volume published by Springer in the LNCS series. 37 papers are published in this volume, and 8 papers were withdrawn due to technical reasons. We would like to acknowledge the great effort of the SIP/MulGraB 2010 Inter- tional Advisory Boards and members of the International Program Committees, as well as all the organizations and individuals who supported the idea of publishing this volume of proceedings, including SERSC and Springer. Also, the success of these two conferences would not have been possible without the huge support from our sponsors and the work of the Chairs and Organizing Committee.