Operations Research and Big Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Operations Research and Big Data write by Ana Paula Ferreira Dias Barbosa Póvoa. This book was released on 2015-09-11. Operations Research and Big Data available in PDF, EPUB and Kindle. The development of Operations Research (OR) requires constant improvements, such as the integration of research results with business applications and innovative educational practice. The full deployment and commercial exploitation of goods and services generally need the construction of strong synergies between educational institutions and businesses. The IO2015 -XVII Congress of APDIO aims at strengthening the knowledge triangle in education, research and innovation, in order to maximize the contribution of OR for sustainable growth, the promoting of a knowledge-based economy, and the smart use of finite resources. The IO2015-XVII Congress of APDIO is a privileged meeting point for the promotion and dissemination of OR and related disciplines, through the exchange of ideas among teachers, researchers, students , and professionals with different background, but all sharing a common desire that is the development of OR.
Operations Research for Social Good
Operations Research for Social Good - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Operations Research for Social Good write by Natalia Summerville. This book was released on 2023-10-12. Operations Research for Social Good available in PDF, EPUB and Kindle. Advance your knowledge of operations research and social good! Recent technological developments allow data analytics practitioners to solve large problems better and faster with state-of-the-art artificial intelligence (AI) tools. At the same time, humanity faces overarching challenges such as the climate crisis, child malnutrition, systemic racism, and global pandemics, among others. Operations Research for Social Good: A Practitioner’s Introduction Using SAS and Python showcases operations research (OR) methodologies typically required in engineering curricula to applications targeted to make this world a better place. Designed for data scientists, analytics and operations research practitioners, and graduate-level students interested in learning optimization modeling with applied use cases, this book provides the skills to model and solve OR problems with both SAS and Python as well as practical tools and tips to bridge the gap between academic learning and real-world implementations based on Data4Good initiatives.
Applied Big Data Analytics in Operations Management
Applied Big Data Analytics in Operations Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Big Data Analytics in Operations Management write by Kumar, Manish. This book was released on 2016-09-30. Applied Big Data Analytics in Operations Management available in PDF, EPUB and Kindle. Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.
Data Analytics, Computational Statistics, and Operations Research for Engineers
Data Analytics, Computational Statistics, and Operations Research for Engineers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analytics, Computational Statistics, and Operations Research for Engineers write by Debabrata Samanta. This book was released on 2022-03-24. Data Analytics, Computational Statistics, and Operations Research for Engineers available in PDF, EPUB and Kindle. 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.
Big Data Analytics Using Multiple Criteria Decision-Making Models
Big Data Analytics Using Multiple Criteria Decision-Making Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Analytics Using Multiple Criteria Decision-Making Models write by Ramakrishnan Ramanathan. This book was released on 2017-07-12. Big Data Analytics Using Multiple Criteria Decision-Making Models available in PDF, EPUB and Kindle. Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The book will include an Introduction to Big Data and Business Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.
