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Cultivating Data-Based Decisions in Higher Education: Using Rapid Insight, Inc. Veera

Cultivating Data-Based Decisions in Higher Education: Using Rapid Insight, Inc. Veera PDF Author: Scott J. Mantie, Ph.D.
Publisher: Lulu.com
ISBN: 1105762041
Category : Computers
Languages : en
Pages : 100

Book Description
American postsecondary institutions are faced with a growing financial crisis that threatens the quality, availability, and economics of the higher education system. Within this climate of economic uncertainty and decline, higher education is under pressure to restructure and reform its processes and contributions to society and to provide evidence of return on investment while using as few institutional resources as possible. In an effort to address these challenges, college and university administrators attempt to guide their institutions by becoming more focused on data-based decision making. This book provides an overview of Rapid Insight(R)'s Veera and how it can be used to address many difficulties confronting postsecondary institutions attempting to engage in meaningful data-based decision making. It is not intended to be an in-depth reference manual for the product, but, rather, to motivate novices to use Veera and to expose experienced users to real-world examples and tips.

Cultivating Data-Based Decisions in Higher Education: Using Rapid Insight, Inc. Veera

Cultivating Data-Based Decisions in Higher Education: Using Rapid Insight, Inc. Veera PDF Author: Scott J. Mantie, Ph.D.
Publisher: Lulu.com
ISBN: 1105762041
Category : Computers
Languages : en
Pages : 100

Book Description
American postsecondary institutions are faced with a growing financial crisis that threatens the quality, availability, and economics of the higher education system. Within this climate of economic uncertainty and decline, higher education is under pressure to restructure and reform its processes and contributions to society and to provide evidence of return on investment while using as few institutional resources as possible. In an effort to address these challenges, college and university administrators attempt to guide their institutions by becoming more focused on data-based decision making. This book provides an overview of Rapid Insight(R)'s Veera and how it can be used to address many difficulties confronting postsecondary institutions attempting to engage in meaningful data-based decision making. It is not intended to be an in-depth reference manual for the product, but, rather, to motivate novices to use Veera and to expose experienced users to real-world examples and tips.

Business Intelligence and Analytics

Business Intelligence and Analytics PDF Author: Ramesh Sharda
Publisher: Pearson
ISBN: 9781292009209
Category : Business intelligence
Languages : en
Pages : 688

Book Description
Decision Support and Business Intelligence Systems provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making. The 10th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book.

23 Things They Don't Tell You about Capitalism

23 Things They Don't Tell You about Capitalism PDF Author: Ha-Joon Chang
Publisher: Bloomsbury Publishing USA
ISBN: 1608193586
Category : Business & Economics
Languages : en
Pages : 305

Book Description
INTERNATIONAL BESTSELLER "For anyone who wants to understand capitalism not as economists or politicians have pictured it but as it actually operates, this book will be invaluable."-Observer (UK) If you've wondered how we did not see the economic collapse coming, Ha-Joon Chang knows the answer: We didn't ask what they didn't tell us about capitalism. This is a lighthearted book with a serious purpose: to question the assumptions behind the dogma and sheer hype that the dominant school of neoliberal economists-the apostles of the freemarket-have spun since the Age of Reagan. Chang, the author of the international bestseller Bad Samaritans, is one of the world's most respected economists, a voice of sanity-and wit-in the tradition of John Kenneth Galbraith and Joseph Stiglitz. 23 Things They Don't Tell You About Capitalism equips readers with an understanding of how global capitalism works-and doesn't. In his final chapter, "How to Rebuild the World," Chang offers a vision of how we can shape capitalism to humane ends, instead of becoming slaves of the market.

Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods

Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods PDF Author: R. Venkata Rao
Publisher: Springer Science & Business Media
ISBN: 1447143752
Category : Technology & Engineering
Languages : en
Pages : 297

Book Description
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIšekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker’s subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods a key reference for the designers, manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.

Enhancing the Resilience of the Nation's Electricity System

Enhancing the Resilience of the Nation's Electricity System PDF Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309463076
Category : Science
Languages : en
Pages : 171

Book Description
Americans' safety, productivity, comfort, and convenience depend on the reliable supply of electric power. The electric power system is a complex "cyber-physical" system composed of a network of millions of components spread out across the continent. These components are owned, operated, and regulated by thousands of different entities. Power system operators work hard to assure safe and reliable service, but large outages occasionally happen. Given the nature of the system, there is simply no way that outages can be completely avoided, no matter how much time and money is devoted to such an effort. The system's reliability and resilience can be improved but never made perfect. Thus, system owners, operators, and regulators must prioritize their investments based on potential benefits. Enhancing the Resilience of the Nation's Electricity System focuses on identifying, developing, and implementing strategies to increase the power system's resilience in the face of events that can cause large-area, long-duration outages: blackouts that extend over multiple service areas and last several days or longer. Resilience is not just about lessening the likelihood that these outages will occur. It is also about limiting the scope and impact of outages when they do occur, restoring power rapidly afterwards, and learning from these experiences to better deal with events in the future.

Waste Management: Concepts, Methodologies, Tools, and Applications

Waste Management: Concepts, Methodologies, Tools, and Applications PDF Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799812111
Category : Technology & Engineering
Languages : en
Pages : 1680

Book Description
As the world’s population continues to grow and economic conditions continue to improve, more solid and liquid waste is being generated by society. Improper disposal methods can not only lead to harmful environmental impacts but can also negatively affect human health. To prevent further harm to the world’s ecosystems, there is a dire need for sustainable waste management practices that will safeguard the environment for future generations. Waste Management: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines the management of different types of wastes and provides relevant theoretical frameworks about new waste management technologies for the control of air, water, and soil pollution. Highlighting a range of topics such as contaminant removal, landfill treatment, and recycling, this multi-volume book is ideally designed for environmental engineers, waste authorities, solid waste management companies, landfill operators, legislators, environmentalists, policymakers, government officials, academicians, researchers, and students.

Recent Advances on Soft Computing and Data Mining

Recent Advances on Soft Computing and Data Mining PDF Author: Rozaida Ghazali
Publisher: Springer Nature
ISBN: 3030360563
Category : Technology & Engineering
Languages : en
Pages : 491

Book Description
This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.

Responsible Artificial Intelligence

Responsible Artificial Intelligence PDF Author: Virginia Dignum
Publisher: Springer Nature
ISBN: 3030303713
Category : Computers
Languages : en
Pages : 133

Book Description
In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.

Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) PDF Author: Rajiv Misra
Publisher: Springer Nature
ISBN: 3030824691
Category : Computers
Languages : en
Pages : 362

Book Description
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.

Smart cities

Smart cities PDF Author: Netexplo
Publisher: UNESCO Publishing
ISBN: 9231003178
Category :
Languages : en
Pages : 344

Book Description