Data Mining and Decision Support

2012-12-06
Data Mining and Decision Support

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  • Author: Dunja Mladenic
  • Publisher: Springer Science & Business Media
  • ISBN: 1461502861
  • Category : Computers
  • Languages : en
  • Pages : 284

Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.

Business Analytics

2020
Business Analytics

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  • Author: S. Christian Albright
  • Publisher:
  • ISBN: 9789814878180
  • Category : Decision making
  • Languages : en
  • Pages : 882

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

2020-07-29
Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

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  • Author: Ravinesh C. Deo
  • Publisher: Springer Nature
  • ISBN: 9811557721
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 469

This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables. Predictive modelling is a consolidated discipline used to forewarn the possibility of natural hazards. In this book, experts from numerical weather forecast, meteorology, hydrology, engineering, agriculture, economics, and disaster policy-making contribute towards an interdisciplinary framework to construct potent models for hazard risk mitigation. The book will help advance the state of knowledge of artificial intelligence in decision systems to aid disaster management and policy-making. This book can be a useful reference for graduate student, academics, practicing scientists and professionals of disaster management, artificial intelligence, and environmental sciences.

Data Analysis & Decision Making with Microsoft Excel

2009
Data Analysis & Decision Making with Microsoft Excel

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  • Author: Samuel Christian Albright
  • Publisher: South-Western Pub
  • ISBN: 9780324663501
  • Category : Business & Economics
  • Languages : en
  • Pages : 1090

Master data analysis, modeling, and spreadsheet use with DATA ANALYSIS AND DECISION MAKING WITH MICROSOFT EXCEL! With a teach-by-example approach, student-friendly writing style, and complete Excel integration, this quantitative methods text provides you with the tools you need to succeed. Margin notes, boxed-in definitions and formulas in the text, enhanced explanations in the text itself, and stated objectives for the examples found throughout the text make studying easy. Problem sets and cases provide realistic examples that enable you to see the relevance of the material to your future as a business leader. The CD-ROMs packaged with every new book include the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, and RISKOptimizer); and SolverTable, which allows you to do sensitivity analysis. All of these add-ins have been revised for Excel 2007.

Decision Support Systems V – Big Data Analytics for Decision Making

2015-06-02
Decision Support Systems V – Big Data Analytics for Decision Making

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  • Author: Boris Delibašić
  • Publisher: Springer
  • ISBN: 9783319185323
  • Category : Computers
  • Languages : en
  • Pages : 0

This book constitutes the refereed proceedings of the First International Conference on Decision Support Systems Technology, ICDSST 2015, held in Belgrade, Serbia, in May 2015. The theme of the event was “Big Data Analytics for Decision-Making” and it was organized by the EURO (Association of European Operational Research Societies) working group of Decision Support Systems (EWG-DSS). The eight papers presented in this book were selected out of 26 submissions after being carefully reviewed by at least three internationally known experts from the ICDSST 2015 Program Committee and external invited reviewers. The selected papers are representative of current and relevant research activities in the area of decision support systems, such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluations and analysis through social networks, and decision support system applications in real-world environments. The volume is completed by an additional invited paper on big data decision-making use cases.

Data Science for Business and Decision Making

2019-04-11
Data Science for Business and Decision Making

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  • Author: Luiz Paulo Fávero
  • Publisher: Academic Press
  • ISBN: 0128112174
  • Category : Business & Economics
  • Languages : en
  • Pages : 1240

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

Private Real Estate Investment

2005-03-29
Private Real Estate Investment

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  • Author: Roger J. Brown
  • Publisher: Elsevier
  • ISBN: 0080480365
  • Category : Business & Economics
  • Languages : en
  • Pages : 360

Fiduciary responsibilities and related court-imposed liabilities have forced investors to assess market conditions beyond gut level, resulting in the development of sophisticated decision-making tools. Roger Brown's use of historical real estate data enables him to develop tools for gauging the impact of circumstances on relative risk. His application of higher level statistical modeling to various aspects of real estate makes this book an essential partner in real estate research. Offering tools to enhance decision-making for consumers and researchers in market economies of any country interested in land use and real estate investment, his book will improve real estate market efficiency. With property the world's biggest asset class, timely data on housing prices just got easier to find and use. Excellent mixture of theory and application Data and database analysis techniques are the first of their kind

Reinventing Clinical Decision Support

2021-08-02
Reinventing Clinical Decision Support

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  • Author: Paul Cerrato
  • Publisher: Taylor & Francis
  • ISBN: 9781032081854
  • Category : Clinical medicine
  • Languages : en
  • Pages : 184

The book explains to physicians and technologists the value and limitations of artificial intelligence in the management of disease. Specifically, it explains how machine learning and new types of data analysis will improve diagnosis and personalize patient care.

Analytics and Decision Support in Health Care Operations Management

2017-04-10
Analytics and Decision Support in Health Care Operations Management

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  • Author: Yasar A. Ozcan
  • Publisher: John Wiley & Sons
  • ISBN: 1119219817
  • Category : Medical
  • Languages : en
  • Pages : 600

A compendium of health care quantitative techniques based in Excel Analytics and Decision Support in Health Care Operations is a comprehensive introductory guide to quantitative techniques, with practical Excel-based solutions for strategic health care management. This new third edition has been extensively updated to reflect the continuously evolving field, with new coverage of predictive analytics, geographical information systems, flow process improvement, lean management, six sigma, health provider productivity and benchmarking, project management, simulation, and more. Each chapter includes additional new exercises to illustrate everyday applications, and provides clear direction on data acquisition under a variety of hospital information systems. Instructor support includes updated Excel templates, PowerPoint slides, web based chapter end supplements, and data banks to facilitate classroom instruction, and working administrators will appreciate the depth and breadth of information with clear applicability to everyday situations. The ability to use analytics effectively is a critical skill for anyone involved in the study or practice of health services administration. This book provides a comprehensive set of methods spanning tactical, operational, and strategic decision making and analysis for both current and future health care administrators. Learn critical analytics and decision support techniques specific to health care administration Increase efficiency and effectiveness in problem-solving and decision support Locate appropriate data in different commonly-used hospital information systems Conduct analyses, simulations, productivity measurements, scheduling, and more From statistical techniques like multiple regression, decision-tree analysis, queuing and simulation, to field-specific applications including surgical suite scheduling, roster management, quality monitoring, and more, analytics play a central role in health care administration. Analytics and Decision Support in Health Care Operations provides essential guidance on these critical skills that every professional needs.

Management Decision-Making, Big Data and Analytics

2020-10-12
Management Decision-Making, Big Data and Analytics

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  • Author: Simone Gressel
  • Publisher: SAGE
  • ISBN: 1529738288
  • Category : Business & Economics
  • Languages : en
  • Pages : 354

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.