Data Analytics Computational Statistics And Operations Research For Engineers

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Data Analytics, Computational Statistics, and Operations Research for Engineers

Author : Debabrata Samanta
Publisher : CRC Press
ISBN 13 : 1000550427
Total Pages : 296 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Data Analytics, Computational Statistics, and Operations Research for Engineers by : Debabrata Samanta

Download or read book Data Analytics, Computational Statistics, and Operations Research for Engineers written by Debabrata Samanta and published by CRC Press. This book was released on 2022-04-05 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.

Data Analytics, Computational Statistics, and Operations Research for Engineers

Author : Debabrata Samanta
Publisher : CRC Press
ISBN 13 : 9781003152392
Total Pages : 246 pages
Book Rating : 4.1/5 (523 download)

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Book Synopsis Data Analytics, Computational Statistics, and Operations Research for Engineers by : Debabrata Samanta

Download or read book Data Analytics, Computational Statistics, and Operations Research for Engineers written by Debabrata Samanta and published by CRC Press. This book was released on 2022 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: "With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning"--

Engineering Analytics

Author : Luis Rabelo
Publisher : CRC Press
ISBN 13 : 1000453766
Total Pages : 218 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Engineering Analytics by : Luis Rabelo

Download or read book Engineering Analytics written by Luis Rabelo and published by CRC Press. This book was released on 2021-09-27 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data.

Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications

Author : Saeed, Saqib
Publisher : IGI Global
ISBN 13 : 1668452863
Total Pages : 581 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications by : Saeed, Saqib

Download or read book Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications written by Saeed, Saqib and published by IGI Global. This book was released on 2022-10-21 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital transformation in organizations optimizes the business processes but also brings additional challenges in the form of security threats and vulnerabilities. Cyberattacks incur financial losses for organizations and can affect their reputations. Due to this, cybersecurity has become critical for business enterprises. Extensive technological adoption in businesses and the evolution of FinTech applications require reasonable cybersecurity measures to protect organizations from internal and external security threats. Recent advances in the cybersecurity domain such as zero trust architecture, application of machine learning, and quantum and post-quantum cryptography have colossal potential to secure technological infrastructures. The Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications discusses theoretical foundations and empirical studies of cybersecurity implications in global digital transformation and considers cybersecurity challenges in diverse business areas. Covering essential topics such as artificial intelligence, social commerce, and data leakage, this reference work is ideal for cybersecurity professionals, business owners, managers, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.

Data Analytics

Author : Adedeji B. Badiru
Publisher : CRC Press
ISBN 13 : 1000297330
Total Pages : 273 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Data Analytics by : Adedeji B. Badiru

Download or read book Data Analytics written by Adedeji B. Badiru and published by CRC Press. This book was released on 2020-12-22 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Good data analytics is the basis for effective decisions. Whoever has the data, has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertip reach of readers. This handbook includes formulas that will appeal to mathematically inclined readers. It discusses how to use data analytics to improve decision-making and is ideal for those new to using data analytics to show how to expand their usage horizon. It provides quantitative techniques for modeling pandemics, such as COVID-19. It also adds to the suite of mathematical tools for emerging technical areas. This handbook is a handy reference for researchers, practitioners, educators, and students in areas such as industrial engineering, production engineering, project management, civil engineering, mechanical engineering, technology management, and business management worldwide.

Ensuring Open Science at EPA

Author : United States. Congress. House. Committee on Science, Space, and Technology (2011). Subcommittee on Environment
Publisher :
ISBN 13 :
Total Pages : 356 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Ensuring Open Science at EPA by : United States. Congress. House. Committee on Science, Space, and Technology (2011). Subcommittee on Environment

Download or read book Ensuring Open Science at EPA written by United States. Congress. House. Committee on Science, Space, and Technology (2011). Subcommittee on Environment and published by . This book was released on 2014 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Decision Sciences

Author : Raghu Nandan Sengupta
Publisher : CRC Press
ISBN 13 : 1482282569
Total Pages : 1042 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Decision Sciences by : Raghu Nandan Sengupta

Download or read book Decision Sciences written by Raghu Nandan Sengupta and published by CRC Press. This book was released on 2016-11-30 with total page 1042 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts, authors hope to make the readers well aware of the different theoretical and practical ideas, which are the focus of study in decision sciences nowadays. It includes an excellent bibliography/reference/journal list, information about a variety of datasets, illustrated pseudo-codes, and discussion of future trends in research. Covering topics ranging from optimization, networks and games, multi-objective optimization, inventory theory, statistical methods, artificial neural networks, times series analysis, simulation modeling, decision support system, data envelopment analysis, queueing theory, etc., this reference book is an attempt to make this area more meaningful for varied readers. Noteworthy features of this handbook are in-depth coverage of different topics, solved practical examples, unique datasets for a variety of examples in the areas of decision sciences, in-depth analysis of problems through colored charts, 3D diagrams, and discussions about software.

Statistics and Data Analysis for Financial Engineering

Author : David Ruppert
Publisher : Springer
ISBN 13 : 1493926144
Total Pages : 719 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Statistics and Data Analysis for Financial Engineering by : David Ruppert

Download or read book Statistics and Data Analysis for Financial Engineering written by David Ruppert and published by Springer. This book was released on 2015-04-21 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.

Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities

Author : Segall, Richard S.
Publisher : IGI Global
ISBN 13 : 1799827704
Total Pages : 237 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities by : Segall, Richard S.

Download or read book Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities written by Segall, Richard S. and published by IGI Global. This book was released on 2020-02-21 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.

Statistics and Data Analysis for Engineers and Scientists

Author : Tanvir Mustafy
Publisher : Springer Nature
ISBN 13 : 9819946611
Total Pages : 190 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Statistics and Data Analysis for Engineers and Scientists by : Tanvir Mustafy

Download or read book Statistics and Data Analysis for Engineers and Scientists written by Tanvir Mustafy and published by Springer Nature. This book was released on 2024-02-11 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.

Descriptive Statistics for Scientists and Engineers

Author : Rajan Chattamvelli
Publisher : Springer Nature
ISBN 13 : 3031323300
Total Pages : 142 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Descriptive Statistics for Scientists and Engineers by : Rajan Chattamvelli

Download or read book Descriptive Statistics for Scientists and Engineers written by Rajan Chattamvelli and published by Springer Nature. This book was released on 2023-06-21 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. This includes measures of location, spread, skewness, and kurtosis; absolute and relative measures; and classification of spread, skewness, and kurtosis measures, L-moment based measures, van Zwet ordering of kurtosis, and multivariate kurtosis. Several novel topics are discussed including the recursive algorithm for sample variance; simplification of complicated summation expressions; updating formulas for sample geometric, harmonic and weighted means; divide-and-conquer algorithms for sample variance and covariance; L-skewness; spectral kurtosis, etc. A large number of exercises are included in each chapter that are drawn from various engineering fields along with examples that are illustrated using the R programming language. Basic concepts are introduced before moving on to computational aspects. Some applications in bioinformatics, finance, metallurgy, pharmacokinetics (PK), solid mechanics, and signal processing are briefly discussed. Every analyst who works with numeric data will find the discussion very illuminating and easy to follow.

Mathematics in Cyber Research

Author : Paul L. Goethals
Publisher : CRC Press
ISBN 13 : 1000542696
Total Pages : 524 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Mathematics in Cyber Research by : Paul L. Goethals

Download or read book Mathematics in Cyber Research written by Paul L. Goethals and published by CRC Press. This book was released on 2022-02-06 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade, both scholars and practitioners have sought novel ways to address the problem of cybersecurity. Innovative outcomes have included applications such as blockchain as well as creative methods for cyber forensics, software development, and intrusion prevention. Accompanying these technological advancements, discussion on cyber matters at national and international levels has focused primarily on the topics of law, policy, and strategy. The objective of these efforts is typically to promote security by establishing agreements among stakeholders on regulatory activities. Varying levels of investment in cyberspace, however, comes with varying levels of risk; in some ways, this can translate directly to the degree of emphasis for pushing substantial change. At the very foundation or root of cyberspace systems and processes are tenets and rules governed by principles in mathematics. Topics such as encrypting or decrypting file transmissions, modeling networks, performing data analysis, quantifying uncertainty, measuring risk, and weighing decisions or adversarial courses of action represent a very small subset of activities highlighted by mathematics. To facilitate education and a greater awareness of the role of mathematics in cyber systems and processes, a description of research in this area is needed. Mathematics in Cyber Research aims to familiarize educators and young researchers with the breadth of mathematics in cyber-related research. Each chapter introduces a mathematical sub-field, describes relevant work in this field associated with the cyber domain, provides methods and tools, as well as details cyber research examples or case studies. Features One of the only books to bring together such a diverse and comprehensive range of topics within mathematics and apply them to cyber research. Suitable for college undergraduate students or educators that are either interested in learning about cyber-related mathematics or intend to perform research within the cyber domain. The book may also appeal to practitioners within the commercial or government industry sectors. Most national and international venues for collaboration and discussion on cyber matters have focused primarily on the topics of law, policy, strategy, and technology. This book is among the first to address the underpinning mathematics.

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

Author : Patil, Bhushan
Publisher : IGI Global
ISBN 13 : 1799830543
Total Pages : 583 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics by : Patil, Bhushan

Download or read book Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics written by Patil, Bhushan and published by IGI Global. This book was released on 2020-10-23 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.

Frontiers in Massive Data Analysis

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309287812
Total Pages : 190 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Frontiers in Massive Data Analysis by : National Research Council

Download or read book Frontiers in Massive Data Analysis written by National Research Council and published by National Academies Press. This book was released on 2013-09-03 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data.

Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence

Author : Hiran, Kamal Kant
Publisher : IGI Global
ISBN 13 : 1668465205
Total Pages : 383 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence by : Hiran, Kamal Kant

Download or read book Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence written by Hiran, Kamal Kant and published by IGI Global. This book was released on 2023-04-04 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as big data, blockchain, robots, and the internet of things (IoT), and it will continue to be a technological innovator for the foreseeable future. New algorithms in AI are changing business processes and deploying AI-based applications in various sectors. The Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence is a comprehensive reference that presents cases and best practices of AI and knowledge engineering applications on business intelligence. Covering topics such as deep learning methods, face recognition, and sentiment analysis, this major reference work is a dynamic resource for business leaders and executives, IT managers, AI scientists, students and educators of higher education, librarians, researchers, and academicians.

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning

Author : Segall, Richard S.
Publisher : IGI Global
ISBN 13 : 1799884570
Total Pages : 394 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning by : Segall, Richard S.

Download or read book Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning written by Segall, Richard S. and published by IGI Global. This book was released on 2022-01-07 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: During these uncertain and turbulent times, intelligent technologies including artificial neural networks (ANN) and machine learning (ML) have played an incredible role in being able to predict, analyze, and navigate unprecedented circumstances across a number of industries, ranging from healthcare to hospitality. Multi-factor prediction in particular has been especially helpful in dealing with the most current pressing issues such as COVID-19 prediction, pneumonia detection, cardiovascular diagnosis and disease management, automobile accident prediction, and vacation rental listing analysis. To date, there has not been much research content readily available in these areas, especially content written extensively from a user perspective. Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning is designed to cover a brief and focused range of essential topics in the field with perspectives, models, and first-hand experiences shared by prominent researchers, discussing applications of artificial neural networks (ANN) and machine learning (ML) for biomedical and business applications and a listing of current open-source software for neural networks, machine learning, and artificial intelligence. It also presents summaries of currently available open source software that utilize neural networks and machine learning. The book is ideal for professionals, researchers, students, and practitioners who want to more fully understand in a brief and concise format the realm and technologies of artificial neural networks (ANN) and machine learning (ML) and how they have been used for prediction of multi-disciplinary research problems in a multitude of disciplines.

Applications of Mathematics and Informatics in Science and Engineering

Author : Nicholas J. Daras
Publisher : Springer
ISBN 13 : 9783319349633
Total Pages : 0 pages
Book Rating : 4.3/5 (496 download)

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Book Synopsis Applications of Mathematics and Informatics in Science and Engineering by : Nicholas J. Daras

Download or read book Applications of Mathematics and Informatics in Science and Engineering written by Nicholas J. Daras and published by Springer. This book was released on 2016-09-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis, assessment, and data management are core competencies for operation research analysts. This volume addresses a number of issues and developed methods for improving those skills. It is an outgrowth of a conference held in April 2013 at the Hellenic Military Academy and brings together a broad variety of mathematical methods and theories with several applications. It discusses directions and pursuits of scientists that pertain to engineering sciences. It is also presents the theoretical background required for algorithms and techniques applied to a large variety of concrete problems. A number of open questions as well as new future areas are also highlighted. This book will appeal to operations research analysts, engineers, community decision makers, academics, the military community, practitioners sharing the current “state-of-the-art,” and analysts from coalition partners. Topics covered include Operations Research, Games and Control Theory, Computational Number Theory and Information Security, Scientific Computing and Applications, Statistical Modeling and Applications, Systems of Monitoring and Spatial Analysis.