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Grey Systems Analysis

Author : Sifeng Liu
Publisher : Springer Nature
ISBN 13 : 9811961603
Total Pages : 384 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Grey Systems Analysis by : Sifeng Liu

Download or read book Grey Systems Analysis written by Sifeng Liu and published by Springer Nature. This book was released on 2022-12-08 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers up-to-date theoretical and applied advances in grey systems theory from across the world and vividly presents the reader with the overall picture of this new theory and its frontier research. Many of the concepts, models and methods in the book are original by the authors, including simplified form of grey number, general grey number and the operations of grey numbers; the axiomatic system of buffer operators and a series of weakening and strengthening operators; a series of grey relational analysis models, including grey absolute, relative, synthetic, similarity, closeness, negative and three dimension degree, etc.; grey fixed weight clustering model, grey evaluation models based on center-point and end-point mixed possibility functions; original difference grey model (ODGM), even difference grey model (EDGM), discrete grey model (DGM), fractional grey models, self-memory grey models; multi-attribute intelligent grey target decision models, weight vector group with kernel and the weighted comprehensive clustering coefficient vector, and spectrum analysis of sequence operators, etc. This book will be appropriate as a reference and/or professional book for courses of grey system theory for graduate students or high-level undergraduate students, majoring in areas of science, technology, agriculture, medicine, astronomy, earth science, economics, and management. It can also be utilized by researchers and practitioners in research institutions, business entities, and government agencies.

Grey Data Analysis

Author : Sifeng Liu
Publisher : Springer
ISBN 13 : 9811018413
Total Pages : 351 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Grey Data Analysis by : Sifeng Liu

Download or read book Grey Data Analysis written by Sifeng Liu and published by Springer. This book was released on 2016-09-01 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book inclusively and systematically presents the fundamental methods, models and techniques of practical application of grey data analysis, bringing together the authors’ many years of theoretical exploration, real-life application, and teaching. It also reflects the majority of recent theoretical and applied advances in the theory achieved by scholars from across the world, providing readers a vivid overall picture of this new theory and its pioneering research activities. The book includes 12 chapters, covering the introduction to grey systems, a novel framework of grey system theory, grey numbers and their operations, sequence operators and grey data mining, grey incidence analysis models, grey clustering evaluation models, series of GM models, combined grey models, techniques for grey systems forecasting, grey models for decision-making, techniques for grey control, etc. It also includes a software package that allows practitioners to conveniently and practically employ the theory and methods presented in this book. All methods and models presented here were chosen for their practical applicability and have been widely employed in various research works. I still remember 1983, when I first participated in a course on Grey System Theory. The mimeographed teaching materials had a blue cover and were presented as a book. It was like finding a treasure: This fascinating book really inspired me as a young intellectual going through a period of confusion and lack of academic direction. It shone with pearls of wisdom and offered a beacon in the mist for a man trying to find his way in academic research. This book became the guiding light in my life journey, inspiring me to forge an indissoluble bond with Grey System Theory. ——Sifeng Liu

Grey Systems

Author : Sifeng Liu
Publisher : Springer
ISBN 13 : 3642161588
Total Pages : 391 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Grey Systems by : Sifeng Liu

Download or read book Grey Systems written by Sifeng Liu and published by Springer. This book was released on 2010-12-09 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to inherent limitations in human sensing organs, most data collected for various purposes contain uncertainties. Even at the rare occasions when accurate data are available, the truthful predictions derived on the data tend to create chaotic consequences. So, to effectively process and make sense out of available data, we need methods to deal with uncertainty inherently existing inside the data. The intent of this monograph is to explore the fundamental theory, methods, and techniques of practical application of grey systems theory, initiated by Professor Deng Julong in 1982. This volume presents most of the recent advances of the theory accomplished by scholars from around the world. From studying this book, the reader will not only acquire an overall knowledge of this new theory but also be able to follow the most current research activities. All examples presented are based on practical applications of the theory when urgent real-life problems had to be addressed. Last but not the least, this book concludes with three appendices. The first one compares grey systems theory and interval analysis while revealing the fact that interval analysis is a part of grey mathematics. The second appendix presents an array of different approaches of studying uncertainties. And, the last appendix shows how uncertainties appear using general systems approach.

Data Analytics in Bioinformatics

Author : Rabinarayan Satpathy
Publisher : John Wiley & Sons
ISBN 13 : 111978560X
Total Pages : 433 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Data Analytics in Bioinformatics by : Rabinarayan Satpathy

Download or read book Data Analytics in Bioinformatics written by Rabinarayan Satpathy and published by John Wiley & Sons. This book was released on 2021-01-20 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.

Financial Risk Management and Modeling

Author : Constantin Zopounidis
Publisher : Springer Nature
ISBN 13 : 3030666913
Total Pages : 480 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Financial Risk Management and Modeling by : Constantin Zopounidis

Download or read book Financial Risk Management and Modeling written by Constantin Zopounidis and published by Springer Nature. This book was released on 2021-09-13 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risk is the main source of uncertainty for investors, debtholders, corporate managers and other stakeholders. For all these actors, it is vital to focus on identifying and managing risk before making decisions. The success of their businesses depends on the relevance of their decisions and consequently, on their ability to manage and deal with the different types of risk. Accordingly, the main objective of this book is to promote scientific research in the different areas of risk management, aiming at being transversal and dealing with different aspects of risk management related to corporate finance as well as market finance. Thus, this book should provide useful insights for academics as well as professionals to better understand and assess the different types of risk.

Practical Statistics for Data Scientists

Author : Peter Bruce
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491952911
Total Pages : 322 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Practical Statistics for Data Scientists by : Peter Bruce

Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Exploratory Data Analysis Using R

Author : Ronald K. Pearson
Publisher : CRC Press
ISBN 13 : 0429847041
Total Pages : 563 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Exploratory Data Analysis Using R by : Ronald K. Pearson

Download or read book Exploratory Data Analysis Using R written by Ronald K. Pearson and published by CRC Press. This book was released on 2018-05-04 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data. The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on "keeping it all together" that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. it keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available. About the Author: Ronald K. Pearson holds the position of Senior Data Scientist with GeoVera, a property insurance company in Fairfield, California, and he has previously held similar positions in a variety of application areas, including software development, drug safety data analysis, and the analysis of industrial process data. He holds a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and has published conference and journal papers on topics ranging from nonlinear dynamic model structure selection to the problems of disguised missing data in predictive modeling. Dr. Pearson has authored or co-authored books including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Nonlinear Digital Filtering with Python. He is also the developer of the DataCamp course on base R graphics and is an author of the datarobot and GoodmanKruskal R packages available from CRAN (the Comprehensive R Archive Network).

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Methodological Aspects of Grey Systems Theory in Management Research

Author : Rafał Mierzwiak
Publisher : Springer Nature
ISBN 13 : 9819724139
Total Pages : 142 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Methodological Aspects of Grey Systems Theory in Management Research by : Rafał Mierzwiak

Download or read book Methodological Aspects of Grey Systems Theory in Management Research written by Rafał Mierzwiak and published by Springer Nature. This book was released on with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Grey Forecasting

Author : Naiming Xie
Publisher : Springer Nature
ISBN 13 : 9819753236
Total Pages : 211 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Grey Forecasting by : Naiming Xie

Download or read book Grey Forecasting written by Naiming Xie and published by Springer Nature. This book was released on with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence-Based Forecasting and Analytic Techniques for Environment and Economics Management

Author : Wendong Yang
Publisher : Frontiers Media SA
ISBN 13 : 2832504728
Total Pages : 328 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Artificial Intelligence-Based Forecasting and Analytic Techniques for Environment and Economics Management by : Wendong Yang

Download or read book Artificial Intelligence-Based Forecasting and Analytic Techniques for Environment and Economics Management written by Wendong Yang and published by Frontiers Media SA. This book was released on 2022-11-09 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Techniques for Data Analysis in Diverse Settings

Author : Celebi, Numan
Publisher : IGI Global
ISBN 13 : 1522500766
Total Pages : 374 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Intelligent Techniques for Data Analysis in Diverse Settings by : Celebi, Numan

Download or read book Intelligent Techniques for Data Analysis in Diverse Settings written by Celebi, Numan and published by IGI Global. This book was released on 2016-04-20 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks, extracting, modeling, and approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Intelligent Techniques for Data Analysis in Diverse Settings addresses the specialized requirements of data analysis in a comprehensive way. This title contains a comprehensive overview of the most innovative recent approaches borne from intelligent techniques such as neural networks, rough sets, fuzzy sets, and metaheuristics. Combining new data analysis technologies, applications, emerging trends, and case studies, this publication reviews the intelligent, technological, and organizational aspects of the field. This book is ideally designed for IT professionals and students, data analysis specialists, healthcare providers, and policy makers.

Sustainable Development of Smart Cities Infrastructure (SDSCI-2023) (Volume-2)

Author : H.K. Sharma
Publisher : Allied Publishers
ISBN 13 : 9390951658
Total Pages : 390 pages
Book Rating : 4.3/5 (99 download)

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Book Synopsis Sustainable Development of Smart Cities Infrastructure (SDSCI-2023) (Volume-2) by : H.K. Sharma

Download or read book Sustainable Development of Smart Cities Infrastructure (SDSCI-2023) (Volume-2) written by H.K. Sharma and published by Allied Publishers. This book was released on 2023-06-10 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable development of smart cities infrastructures is of paramount importance and need to be planned, designed, constructed, operated and de-commissioned in a manner that ensures economic, social, environmental and institutional sustainability over the entire infrastructure life cycle. Smart cities infrastructure however be cost effective, disaster resilient, environmentally friendly, conserving natural resources, and sustainable ensuring faster delivery of quality and durable structures which include roads, building, bridges, energy and water infrastructures. Government of India is going to encourage Public Private Partnership (PPP) as an alternate option to build most of the infrastructures, which can be useful both for green-field as well as brown-field smart cities projects. The present book is a collection of contributed research and review papers presented at the ‘National Conference on Sustainable Development of Smart Cities Infrastructure’ (SDSCI-2023) held at National Institute of Technology, Kurukshetra in May 2023.The subject matter is grouped into nine sessions which include research articles pertaining to sustainable development of smart cities, urban and rural planning, transportation, built environment and management, sustainable and smart technologies, materials, construction and maintenance, advance modelling, characterization of structures, energy and environment, performance of smart cities infrastructure under extreme loading conditions, green buildings, structural health monitoring, and ICT in smart cities, data mining and machine learning for sustainable infrastructure, GIS and remote sensing, future trends and prospects of smart cities, innovative technologies, building energy and efficiency and sobriety, and sustainable resilience to natural and man-made disasters, and smart materials, etc. The book would be a valuable reference for researchers, students, structural designers, site engineers, and all related engineers involved in the field of sustainable development of smart cities infrastructure.

Emerging Studies and Applications of Grey Systems

Author : Yingjie Yang
Publisher : Springer Nature
ISBN 13 : 981193424X
Total Pages : 335 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Emerging Studies and Applications of Grey Systems by : Yingjie Yang

Download or read book Emerging Studies and Applications of Grey Systems written by Yingjie Yang and published by Springer Nature. This book was released on 2023-02-04 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide a practical guide by a set of real world applications of grey systems to social networks, energy management, transportation, natural disaster management, etc. As an emerging subject on data analysis and uncertainty modelling, the theory of grey systems and its applications have seen significant progress in recent years. However, researchers are still challenged with difficulties in differentiating grey systems from other similar models and a concise and practical guide for their real world applications. This is especially true for researchers in Europe and North American. This book may provide the answer for that. This book is a result of work within the Leverhulme Trust International Research Network on Grey Systems and its Applications. Readers may regard the book as valuable reference in the related fields.

R for Health Data Science

Author : Ewen Harrison
Publisher : CRC Press
ISBN 13 : 1000226166
Total Pages : 354 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis R for Health Data Science by : Ewen Harrison

Download or read book R for Health Data Science written by Ewen Harrison and published by CRC Press. This book was released on 2020-12-31 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new treatments, to the diagnosis and management of individual patients, the use of data and technology is now an integral part of the business of healthcare. Those working in healthcare interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high-quality patient care. R for Health Data Science includes everything a healthcare professional needs to go from R novice to R guru. By the end of this book, you will be taking a sophisticated approach to health data science with beautiful visualisations, elegant tables, and nuanced analyses. Features Provides an introduction to the fundamentals of R for healthcare professionals Highlights the most popular statistical approaches to health data science Written to be as accessible as possible with minimal mathematics Emphasises the importance of truly understanding the underlying data through the use of plots Includes numerous examples that can be adapted for your own data Helps you create publishable documents and collaborate across teams With this book, you are in safe hands – Prof. Harrison is a clinician and Dr. Pius is a data scientist, bringing 25 years’ combined experience of using R at the coal face. This content has been taught to hundreds of individuals from a variety of backgrounds, from rank beginners to experts moving to R from other platforms.

Anticoagulation in cardiovascular diseases: Evolving role, unmet needs and grey areas

Author :
Publisher : Frontiers Media SA
ISBN 13 : 2832520731
Total Pages : 236 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Anticoagulation in cardiovascular diseases: Evolving role, unmet needs and grey areas by :

Download or read book Anticoagulation in cardiovascular diseases: Evolving role, unmet needs and grey areas written by and published by Frontiers Media SA. This book was released on 2023-11-02 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Analysis for Neurodegenerative Disorders

Author : Deepika Koundal
Publisher : Springer Nature
ISBN 13 : 9819921546
Total Pages : 267 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Data Analysis for Neurodegenerative Disorders by : Deepika Koundal

Download or read book Data Analysis for Neurodegenerative Disorders written by Deepika Koundal and published by Springer Nature. This book was released on 2023-05-31 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the challenges involved in handling medical big data in the diagnosis of neurological disorders. It discusses how to optimally reduce the number of neuropsychological tests during the classification of these disorders by using feature selection methods based on the diagnostic information of enrolled subjects. The book includes key definitions/models and covers their applications in different types of signal/image processing for neurological disorder data. An extensive discussion on the possibility of enhancing the abilities of AI systems using the different data analysis is included. The book recollects several applicable basic preliminaries of the different AI networks and models, while also highlighting basic processes in image processing for various neurological disorders. It also reports on several applications to image processing and explores numerous topics concerning the role of big data analysis in addressing signal and image processing in various real-world scenarios involving neurological disorders. This cutting-edge book highlights the analysis of medical data, together with novel procedures and challenges for handling neurological signals and images. It will help engineers, researchers and software developers to understand the concepts and different models of AI and data analysis. To help readers gain a comprehensive grasp of the subject, it focuses on three key features: ● Presents outstanding concepts and models for using AI in clinical applications involving neurological disorders, with clear descriptions of image representation, feature extraction and selection. ● Highlights a range of techniques for evaluating the performance of proposed CAD systems for the diagnosis of neurological disorders. ● Examines various signal and image processing methods for efficient decision support systems. Soft computing, machine learning and optimization algorithms are also included to improve the CAD systems used.