This proceedings volume collects contributions from the 5th AIRO Young Workshop and AIRO PhD School 2021 joint event on "e;Optimization and Data Science: Trends and Applications"e;, held online, from February 8 to 12, 2021.
This book covers algorithm portfolios, multi-method schemes that harness optimization algorithms into a joint framework to solve optimization problems.
This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value uncertain optimal control and optimistic value uncertain optimal control.
This book demonstrates that innovative ideas are systematically constructed in the creative space spanned by the dimensions of systems thinking and knowledge management.
Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes.
Build reporting applications and dashboards using the different MicroStrategy objectsKey FeaturesLearn the fundamentals of MicroStrategyUse MicroStrategy to get actionable insights from your business dataCreate visualizations and build intuitive dashboards and reportsBook DescriptionMicroStrategy is an enterprise business intelligence application.
One current challenge of conducting research from the leadership-as-practice perspective is a practical one: how to capture and analyse the elusive practice of leadership within the web of mundane organising processes.
This book is based on a number of systems concepts, of which the following are emphasized here: oThe interacting systems of society and the environment are dynamic and evolution- ary oEvolution of these systems carries them through stages of differential stability and instability, continuity and discontinuity oAssociated with evolution and instability is structural change that is essentially irre- versible oThe present is a stage of world transformation that may not have been equaled for decades or even centuries oPolicies and decisions must match the times, in the present case the stage of world transformation The time 11:59:59 PM, approximately, on December 31, 2000 has an impor- tant symbolic meaning.
This book examines how people make decisions under risk and uncertainty in operational settings and opens the black box by specifying the cognitive processes that lead to human behavior.
When it comes to the field of organization and management theory, a philosophical perspective enables us to conduct organizational research imbued with the attitude of 'wonder'; it helps researchers question dominant images of thought underlying mainstream thinking, and provides fresh distinctions that enable the development of new theory.
This book outlines the latest trends in the use of multicriteria analysis in agriculture by highlighting recent applications for modeling agricultural decision-making.
Die vorliegende Dissertation entstand neben meiner Tätigkeit als wissenschaftlicher Mitarbeiter und als Abteilungsleiter am Institut für Werkzeugmaschinen und Betriebs wissenschaften (iwb) der Technischen Universität München.
A central problem of prescriptive decision making is the mismatch between the elegant formal models of decision theory and the less elegant, informal thinking of decision makers, especially when dealing with ill-structured situations.
In this book, Binder shows that at the heart of the most prominent arguments in favour of value-neutral approaches to overall freedom lies the value freedom has for human agency and development.
Service Systems Implementation provides the latest applications and practices aimed at improving the key performance indicators of service systems, especially those related to service quality, service productivity, regulatory compliance, and sustainable service innovation.
Constraint and Integer Programming presents some of the basic ideas of constraint programming and mathematical programming, explores approaches to integration, brings us up to date on heuristic methods, and attempts to discern future directions in this fast-moving field.
This edited volume is an introduction to diverse methods and applications in operations research focused on local populations and community-based organizations that have the potential to improve the lives of individuals and communities in tangible ways.
This book highlights the use of an outcome-oriented view of performance to frame and assess the desirability of the effects produced by adopted policies, so to allow governments not only to consider effects in the short, but also the long run.
The purpose of this book is to reimagine the concept of culture, both as an analytical category and disciplinary practice of dominance, marginalization and exclusion.
Stochastic programming - the science that provides us with tools to design and control stochastic systems with the aid of mathematical programming techniques - lies at the intersection of statistics and mathematical programming.
This book presents the latest tools, techniques, and solutions that decision makers use to overcome the challenges faced by their sustainable supply chains.
This book takes a unique approach to linear optimization by focusing on the underlying principles and business applications of a topic more often taught from a mathematical and computational perspective.
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis.
The HCISPP certification is a globally-recognized, vendor-neutral exam for healthcare information security and privacy professionals, created and administered by ISC2.
Implement business intelligence (BI), data modeling, and data analytics within Microsoft products such as Power BI, SQL Server, and ExcelKey FeaturesUnderstand the ins and outs of DAX expressions and querying functions with the help of easy-to-follow examplesManipulate data of varying complexity and optimize BI workflows to extract key insightsCreate, monitor, and improve the performance of models by writing clean and robust DAX queriesBook DescriptionData Analysis Expressions (DAX) is known for its ability to increase efficiency by extracting new information from data that is already present in your model.
