Decision Science In Action
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Decision Science In Action
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Author : Kusum Deep
language : en
Publisher: Springer
Release Date : 2018-09-12
Decision Science In Action written by Kusum Deep and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-12 with Business & Economics categories.
This book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems. Many of these problems can be modeled as nonlinear optimization problems, but due to their complex nature, it is not always possible to solve them using conventional optimization theory. Accordingly, the book discusses the design and applications of non-conventional numerical optimization techniques, including the design of benchmark functions and the implementation of these techniques to solve real-world optimization problems. The book’s twenty chapters examine various interesting research topics in this area, including: Pi fraction-based optimization of the Pantoja–Bretones–Martin (PBM) antenna benchmarks; benchmark function generators for single-objective robust optimization algorithms; convergence of gravitational search algorithms on linear and quadratic functions; and an algorithm for the multi-variant evolutionary synthesis of nonlinear models with real-valued chromosomes. Delivering on its promise to explore real-world scenarios, the book also addresses the seismic analysis of a multi-story building with optimized damper properties; the application of constrained spider monkey optimization to solve portfolio optimization problems; the effect of upper body motion on a bipedal robot’s stability; an ant colony algorithm for routing alternate-fuel vehicles in multi-depot vehicle routing problems; enhanced fractal dimension-based feature extraction for thermal face recognition; and an artificial bee colony-based hyper-heuristic for the single machine order acceptance and scheduling problem. The book will benefit not only researchers, but also organizations active in such varied fields as Aerospace, Automotive, Biotechnology, Consumer Packaged Goods, Electronics, Finance, Business & Banking, Oil, Gas & Geosciences, and Pharma, to name a few.
Process Mining
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Author : Wil M. P. van der Aalst
language : en
Publisher: Springer
Release Date : 2016-04-15
Process Mining written by Wil M. P. van der Aalst and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-15 with Computers categories.
This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.
Data Science In Action
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2025-07-09
Data Science In Action written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Computers categories.
Unlock the transformative power of data with "Data Science in Action," your gateway to understanding how data science is revolutionizing diverse industries. This compelling eBook explores cutting-edge applications of data science that are not only reshaping businesses but also improving everyday lives. Dive into the world of healthcare, where data-driven insights are driving predictive analytics to prevent diseases and foster personalized medicine. Explore how retailers harness data to decipher consumer behavior and optimize pricing strategies, while financial institutions enhance risk management through sophisticated fraud detection and credit scoring models. "Data Science in Action" takes you beyond theory, presenting practical applications in marketing with targeted advertising and dynamic pricing strategies, and in education with adaptive learning systems that cater to individual needs. Discover the innovations transforming manufacturing processes through predictive maintenance and quality control, and see how smart farming techniques are boosting agricultural efficiency. From streamlining logistics in transportation to refining energy management with smart grids and renewable forecasts, every chapter unveils how data science is embedded in the fabric of our modern era. Uncover the secrets of viewer engagement in entertainment, and delve into data-driven decision-making in government policy and crime prevention. This book also ventures into real estate with predictive modeling and urban planning insights, unlocking the strategies behind successful property valuations. In sports, data is enhancing athlete performance and honing fan engagement strategies. "Data Science in Action" concludes with a forward-looking perspective on emerging trends and technologies, while addressing the ethical considerations and challenges inherent in this transformative field. Whether you're a data science enthusiast or a professional seeking to integrate data insights into your operations, this eBook is your ultimate guide to understanding and applying the principles of data science in practical, impactful ways. Transform how you perceive and utilize data today with "Data Science in Action."
Decision Science And Technology
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Author : James Shanteau
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Decision Science And Technology written by James Shanteau 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 2012-12-06 with Business & Economics categories.
Decision Science and Technology is a compilation of chapters written in honor of a remarkable man, Ward Edwards. Among Ward's many contributions are two significant accomplishments, either of which would have been enough for a very distinguished career. First, Ward is the founder of behavioral decision theory. This interdisciplinary discipline addresses the question of how people actually confront decisions, as opposed to the question of how they should make decisions. Second, Ward laid the groundwork for sound normative systems by noticing which tasks humans can do well and which tasks computers should perform. This volume, organized into five parts, reflects those accomplishments and more. The book is divided into four sections: `Behavioral Decision Theory' examines theoretical descriptions and empirical findings about human decision making. `Decision Analysis' examines topics in decision analysis.`Decision in Society' explores issues in societal decision making. The final section, `Historical Notes', provides some historical perspectives on the development of the decision theory. Within these sections, major, multi-disciplinary scholars in decision theory have written chapters exploring some very bold themes in the field, as an examination of the book's contents will show. The main reason for the health of the Decision Analysis field is its close links between theory and applications that have characterized it over the years. In this volume, the chapters by Barron and Barrett; Fishburn; Fryback; Keeney; Moreno, Pericchi, and Kadane; Howard; Phillips; Slovic and Gregory; Winkler; and, above all, von Winterfeldt focus on those links. Decision science originally developed out of concern with real decision problems; and applied work, such as is represented in this volume, will help the field to remain strong.
Information Science In Action System Design
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Author : Anthony Debons
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Information Science In Action System Design written by Anthony Debons 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 2012-12-06 with Computers categories.
In August 1978, one hundred or so scholars from several countries around the world met in Crete, Greece to discuss the progress made in designing information systems and the relation of information science to this activity. This was the Third Advanced Study Institute supported by the North Atlantic Treaty Organization, Brussels, Belgium. The first Institute was conducted in 1972 and held in Seven Springs, Pennsylvania. The results of this Institute were published by Marcel Dekker and titled Information Sc. ience: Search for Identity. The'second Institute was held at the College of Librarianship, Aberystwyth, Wales in the summer of 1974. The proceedings were published by Noordhoff International Publishing, Leyden, The Netherlands, entitled Perspectives of Information Science edited by A. Debons and Hilliam Cameron. The three institutes that were conducted shared a common purpose, namely, to assess the state of affairs of information science and to share this assessment with inter national community. Information science can be said to have emerged during the past two, three decades in response to the significant increase in data-knowledge processing technology, the growth of knowledge as the result of these trends and the increase in problem solving, decision making complexity that faced all institutions at all levels throughout the world. Information systems, for many reasons, remain as an abstraction. Nevertheless, considerable funds and human efforts are being expended on them. Thus, such systems are of vital concerns to both scientists and technologists who are involved in them.
Science In Action
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Author : Bruno Latour
language : en
Publisher: Harvard University Press
Release Date : 1987
Science In Action written by Bruno Latour and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with History categories.
From weaker to stronger rhetoric : literature - Laboratories - From weak points to strongholds : machines - Insiders out - From short to longer networks : tribunals of reason - Centres of calculation.
Smarter Decisions The Intersection Of Internet Of Things And Decision Science
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Author : Jojo Moolayil
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-07-29
Smarter Decisions The Intersection Of Internet Of Things And Decision Science written by Jojo Moolayil and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-29 with Computers categories.
Enter the world of Internet of Things with the power of data science with this highly practical, engaging book About This Book Explore real-world use cases from the Internet of Things (IoT) domain using decision science with this easy-to-follow, practical book Learn to make smarter decisions on top of your IoT solutions so that your IoT is smart in a real sense This highly practical, example-rich guide fills the gap between your knowledge of data science and IoT Who This Book Is For If you have a basic programming experience with R and want to solve business use cases in IoT using decision science then this book is for you. Even if your're a non-technical manager anchoring IoT projects, you can skip the code and still benefit from the book. What You Will Learn Explore decision science with respect to IoT Get to know the end to end analytics stack – Descriptive + Inquisitive + Predictive + Prescriptive Solve problems in IoT connected assets and connected operations Design and solve real-life IoT business use cases using cutting edge machine learning techniques Synthesize and assimilate results to form the perfect story for a business Master the art of problem solving when IoT meets decision science using a variety of statistical and machine learning techniques along with hands on tasks in R In Detail With an increasing number of devices getting connected to the Internet, massive amounts of data are being generated that can be used for analysis. This book helps you to understand Internet of Things in depth and decision science, and solve business use cases. With IoT, the frequency and impact of the problem is huge. Addressing a problem with such a huge impact requires a very structured approach. The entire journey of addressing the problem by defining it, designing the solution, and executing it using decision science is articulated in this book through engaging and easy-to-understand business use cases. You will get a detailed understanding of IoT, decision science, and the art of solving a business problem in IoT through decision science. By the end of this book, you'll have an understanding of the complex aspects of decision making in IoT and will be able to take that knowledge with you onto whatever project calls for it Style and approach This scenario-based tutorial approaches the topic systematically, allowing you to build upon what you learned in previous chapters.
Foundations Of Data Science And Data Analysis Tools
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-03-03
Foundations Of Data Science And Data Analysis Tools written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-03 with Computers categories.
EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.
Data Science And It S Application
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Author : Prof. Namrata Kumari
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-08-05
Data Science And It S Application written by Prof. Namrata Kumari and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-05 with Study Aids categories.
"Data Science and Its Applications" delves deeply into the ideas, methodology, and practical applications of data science. This book is both a complete introduction for newbies and a helpful resource for experienced experts looking to expand their knowledge of the topic. By combining theoretical knowledge with practical application, it answers the rising need for data-driven decision-making in today's data-rich environment. The book is designed to take readers through the key phases of data science. It begins with fundamental ideas like data gathering, cleansing, and exploratory analysis, then progresses to more advanced subjects like machine learning techniques, data visualisation, and predictive modelling. The emphasis on real-world applications is a defining aspect of this work. It demonstrates how to apply data science concepts to many sectors, including healthcare, banking, and technology, using thorough case studies and practical examples. These discoveries highlight data science's revolutionary impact in addressing realworld issues and fostering innovation. "Data Science and Its Applications" is intended to be a valuable resource for students, professionals, and anybody interested in leveraging the potential of data. It not only gives the theoretical basis needed to comprehend data science, but also educates readers with the practical skills required to use this knowledge successfully in their own work.
Breakthroughs In Decision Science And Risk Analysis
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Author : Louis Anthony Cox, Jr.
language : en
Publisher: John Wiley & Sons
Release Date : 2015-03-30
Breakthroughs In Decision Science And Risk Analysis written by Louis Anthony Cox, Jr. and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-30 with Business & Economics categories.
Discover recent powerful advances in the theory, methods, and applications of decision and risk analysis Focusing on modern advances and innovations in the field of decision analysis (DA), Breakthroughs in Decision Science and Risk Analysis presents theories and methods for making, improving, and learning from significant practical decisions. The book explains these new methods and important applications in an accessible and stimulating style for readers from multiple backgrounds, including psychology, economics, statistics, engineering, risk analysis, operations research, and management science. Highlighting topics not conventionally found in DA textbooks, the book illustrates genuine advances in practical decision science, including developments and trends that depart from, or break with, the standard axiomatic DA paradigm in fundamental and useful ways. The book features methods for coping with realistic decision-making challenges such as online adaptive learning algorithms, innovations in robust decision-making, and the use of a variety of models to explain available data and recommend actions. In addition, the book illustrates how these techniques can be applied to dramatically improve risk management decisions. Breakthroughs in Decision Science and Risk Analysis also includes: An emphasis on new approaches rather than only classical and traditional ideas Discussions of how decision and risk analysis can be applied to improve high-stakes policy and management decisions Coverage of the potential value and realism of decision science within applications in financial, health, safety, environmental, business, engineering, and security risk management Innovative methods for deciding what actions to take when decision problems are not completely known or described or when useful probabilities cannot be specified Recent breakthroughs in the psychology and brain science of risky decisions, mathematical foundations and techniques, and integration with learning and pattern recognition methods from computational intelligence Breakthroughs in Decision Science and Risk Analysis is an ideal reference for researchers, consultants, and practitioners in the fields of decision science, operations research, business, management science, engineering, statistics, and mathematics. The book is also an appropriate guide for managers, analysts, and decision and policy makers in the areas of finance, health and safety, environment, business, engineering, and security risk management.