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Big Data Analytics Using Multiple Criteria Decision-Making Models

Big Data Analytics Using Multiple Criteria Decision-Making Models PDF Author: Ramakrishnan Ramanathan
Publisher: CRC Press
ISBN: 1351648691
Category : Computers
Languages : en
Pages : 370
Book Description
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.

Big Data Analytics Using Multiple Criteria Decision-Making Models

Big Data Analytics Using Multiple Criteria Decision-Making Models PDF Author: Ramakrishnan Ramanathan
Publisher: CRC Press
ISBN: 1351648691
Category : Computers
Languages : en
Pages : 370
Book Description
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.

Big Data Analytics Using Multiple Criteria Decision-Making Models

Big Data Analytics Using Multiple Criteria Decision-Making Models PDF Author: Ramakrishnan Ramanathan
Publisher: CRC Press
ISBN: 1498753752
Category : Computers
Languages : en
Pages : 370
Book Description
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.

New Concepts and Trends of Hybrid Multiple Criteria Decision Making

New Concepts and Trends of Hybrid Multiple Criteria Decision Making PDF Author: Gwo-Hshiung Tzeng
Publisher: CRC Press
ISBN: 1351680625
Category : Business & Economics
Languages : en
Pages : 348
Book Description
When people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort. Multiple criteria decision making (MCDM) has been researched for decades. Now as the rising trend of big-data analytics in supporting decision making, MCDM can be more powerful when combined with state-of-the-art analytics and machine learning. In this book, the authors introduce a new framework of MCDM, which can lead to more accurate decision making. Several real-world cases will be included to illustrate the new hybrid approaches.

Operations Management and Data Analytics Modelling

Operations Management and Data Analytics Modelling PDF Author: Lalit Kumar Awasthi
Publisher: CRC Press
ISBN: 1000530744
Category : Technology & Engineering
Languages : en
Pages : 206
Book Description
Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0. It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma. Features Discusses the importance of data analytics in industrial operations to improve economy Provides step-by-step implementation of operation management models to identify best practices Covers in-depth analysis using data-based operation management tools and techniques Discusses mathematical modelling for novel operation management models to solve industrial problems This book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.

Decision Making

Decision Making PDF Author: Fausto Pedro García Márquez
Publisher: BoD – Books on Demand
ISBN: 1789237955
Category : Psychology
Languages : en
Pages : 64
Book Description
Decision Making is a book where each chapter has been contributed to by a different author(s). The book synthesizes the analytical principles with business practice of Decision Making. Specifically, the book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc. The chapters introduce and demonstrate decision making theory in practical case studies. It demonstrates key results for each sector with diverse real-world case studies. The theory is accompanied by relevant analysis techniques, with a progressional approach building from simple theory to complex and dynamic decisions with multiple data points, including big data, etc. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements.

Data Science and Big Data Analytics

Data Science and Big Data Analytics PDF Author: EMC Education Services
Publisher: John Wiley & Sons
ISBN: 111887613X
Category : Computers
Languages : en
Pages : 432
Book Description
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Corresponding data sets are available at www.wiley.com/go/9781118876138. Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

Prescriptive Analytics

Prescriptive Analytics PDF Author: Dursun Delen
Publisher: FT Press
ISBN: 013438900X
Category : Computers
Languages : en
Pages :
Book Description
Make Better Decisions, Leverage New Opportunities, and Automate Decisioning at Scale Prescriptive analytics is more directly linked to successful decision-making than any other form of business analytics. It can help you systematically sort through your choices to optimize decisions, respond to new opportunities and risks with precision, and continually reflect new information into your decisioning process. In Prescriptive Analytics, analytics expert Dr. Dursun Delen illuminates the field’s state-of-the-art methods, offering holistic insight for both professionals and students. Delen’s end-to-end, all-inclusive approach covers optimization, simulation, multi-criteria decision-making methods, inference- and heuristic-based decisioning, and more. Balancing theory and practice, he presents intuitive conceptual illustrations, realistic example problems, and real-world case studies–all designed to deliver knowledge you can use. Discover where prescriptive analytics fits and how it improves decision-making Identify optimal solutions for achieving an objective within real-world constraints Analyze complex systems via Monte-Carlo, discrete, and continuous simulations Apply powerful multi-criteria decision-making and mature expert systems and case-based reasoning Preview emerging techniques based on deep learning and cognitive computing

Introduction to Business Analytics

Introduction to Business Analytics PDF Author: Majid Nabavi
Publisher: Business Expert Press
ISBN: 1949443280
Category : Business & Economics
Languages : en
Pages : 180
Book Description
This book presents key concepts related to quantitative analysis in business. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts. This book is aimed at business students, undergraduate and graduate, taking an introductory core course. Topics covered include knowledge management, visualization, sampling and hypothesis testing, regression (simple, multiple, and logistic), as well as optimization modeling. It concludes with a brief overview of data mining. Concepts are demonstrated with worked examples.

Geographic Information Systems and Science

Geographic Information Systems and Science PDF Author: Paul Longley
Publisher: John Wiley & Sons Incorporated
ISBN:
Category : Science
Languages : en
Pages : 454
Book Description
This landmark text captures and redefines the richness and diversity of GIS, in an accessible form. It presents a clearly–defined path to a world of learning about GIS, using the Internet and closely–couples reference sources. It is richly produced and illustrated unlike any other in the field, with over 300 full colour illustrations. Unique in several ways, it presents comprehensive treatments of: Geographic Information Science – the scientific context to GIS, technical content and geographic implications The real value of GIS – illustrated using real world applications. Treatments emphasize operational, tactical and strategic issues The impact of Internet GIS on interdisciplinary science and society The pivotal role of GIS as a business driver in the information age – including the role of GIS as a business asset and the operational dynamics of its use in practice Learning resources include: Links to ESRI′s Virtual Campus which includes modules specially written to accompany the book (http://campus.esri.com) Instructor′s Manual to assist in the planning and use of this text in a variety of academic environments (http://www.wiley.co.uk/gis) Free on–line access to relevant chapters of the first edition of the two–volume ′Big Book 1′ (http://www.wiley.co.uk/gis) Questions for further study at the end of each chapter (http://www.wiley.co.uk/gis) Powerpoint slides to assist teaching

Optimization and Decision Science: Methodologies and Applications

Optimization and Decision Science: Methodologies and Applications PDF Author: Antonio Sforza
Publisher: Springer
ISBN: 3319673084
Category : Mathematics
Languages : en
Pages : 641
Book Description
This proceedings volume highlights the state-of-the-art knowledge related to optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems. It includes contributions tackling these themes using models and methods based on continuous and discrete optimization, network optimization, simulation and system dynamics, heuristics, metaheuristics, artificial intelligence, analytics, and also multiple-criteria decision making. The number and the increasing size of the problems arising in real life require mathematical models and solution methods adequate to their complexity. There has also been increasing research interest in Big Data and related challenges. These challenges can be recognized in many fields and systems which have a significant impact on our way of living: design, management and control of industrial production of goods and services; transportation planning and traffic management in urban and regional areas; energy production and exploitation; natural resources and environment protection; homeland security and critical infrastructure protection; development of advanced information and communication technologies. The chapters in this book examine how to deal with new and emerging practical problems arising in these different fields through the presented methodologies and their applications. The chapter topics are applicable for researchers and practitioners working in these areas, but also for the operations research community. The contributions were presented during the international conference “Optimization and Decision Science” (ODS2017), held at Hilton Sorrento Palace Conference Center, Sorrento, Italy, September 4 – 7, 2017. ODS 2017, was organized by AIRO, Italian Operations Research Society, in cooperation with DIETI (Department of Electrical Engineering and Information Technology) of University “Federico II” of Naples.