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Machine Learning for Business Analytics
Machine Learning for Business Analytics Machine learning—also known as data mining or data analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-li...
Engineering Effective Decision Support Technologies: New Models and Applications
In modern, information-centric business environments, Decision Making Support Systems (DMSS) present a critical consideration for any organization serious about maintaining competitive advantage. Advances in information systems, knowledge management technologies, and other decision support systems necessitate a critical understanding of the latest trends and research. Engineering Effective Decision Support Technologies: New Models and Applications presents a collection of the latest research in DMSS and applies those theoretical considerations to best practices in the field. This reference includes empirical case studies and an analysis of new models and perspectives in knowledge management, promoting discussion of DMSS strategies among managers, researchers, and students of information science.
Encyclopedia of Decision Making and Decision Support Technologies
As effective organizational decision making is a major factor in a company's success, a comprehensive account of current available research on the core concepts of the decision support agenda is in high demand by academicians and professionals. Through 110 authoritative contributions by over 160 of the world's leading experts the Encyclopedia of Decision Making and Decision Support Technologies presents a critical mass of research on the most up-to-date research on human and computer support of managerial decision making, including discussion on support of operational, tactical, and strategic decisions, human vs. computer system support structure, individual and group decision making, and multi-criteria decision making.
Handbook on Decision Support Systems 1
Decision support systems have experienced a marked increase in attention and importance over the past 25 years. The aim of this book is to survey the decision support system (DSS) field – covering both developed territory and emergent frontiers. It will give the reader a clear understanding of fundamental DSS concepts, methods, technologies, trends, and issues. It will serve as a basic reference work for DSS research, practice, and instruction. To achieve these goals, the book has been designed according to a ten-part structure, divided in two volumes with chapters authored by well-known, well-versed scholars and practitioners from the DSS community.
Handbook on Decision Support Systems 2
As the most comprehensive reference work dealing with decision support systems (DSS), this book is essential for the library of every DSS practitioner, researcher, and educator. Written by an international array of DSS luminaries, it contains more than 70 chapters that approach decision support systems from a wide variety of perspectives. These range from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. The chapters are conveniently organized into ten major sections that novices and experts alike will refer to for years to come.
Modeling for Decision Support in Network-Based Services
This book originated from several recent workshops and related activities conducted by the IFIP Working Group 7.6 on "Optimization-Based Computer Aided Modeling and Design." This group has been active for 20 years with the stated objective of developing ”high-performance computer-aided systems to support modeling, decision analysis, optimization and multi-criteria decision making.” Recently, the group has turned its attention to the application of modeling and optimization to service science, management and engineering (SSME). SSME is still a young research field searching for its theoretical underpinnings, and one which offers many opportunities for analytical modeling to not only advan...
Strategic Information Systems: Concepts, Methodologies, Tools, and Applications
"This 4-volume set provides a compendium of comprehensive advanced research articles written by an international collaboration of experts involved with the strategic use of information systems"--Provided by publisher.
Integrations of Technology Utilization and Social Dynamics in Organizations
In an effort to increase an understanding of the relationship between information technology and the cultural and social dynamics within the workplace, we must bridge the gap between technology and social sciences. Integrations of Technology Utilization and Social Dynamics in Organizations covers all aspects of social issues impacted by information technology in organizations and inter-organizational structures; this book presents the conceptualization of specific social issues and their associated constructs. It encompasses designs and infrastructures, empirical validation of social models, and case studies illustrating socialization success and failures relating to Information technology.
Reshaping Society through Analytics, Collaboration, and Decision Support
This volume explores emerging research and pedagogy in analytics, collaboration, and decision support with an emphasis on business intelligence and social media. In general, the chapters help understand where technology involvement in human decisions is headed. Reading the chapters can help understand the opportunities and threats associated with the use of information technology in decision making. Computing and information technologies are reshaping our global society, but they can potentially reshape it in negative as well as positive ways. Analytics, collaboration and computerized decision support are powerful decision aiding and decision making tools that have enormous potential to impa...
Cases on Institutional Research Systems
Institutional research (IR) is a growing, applied, and interdisciplinary area that attracts people from a variety of fields, including computer programmers, statisticians, and administrators and faculty from every discipline to work in archiving, analyzing, and reporting on all aspects of higher education information systems. Cases on Institutional Research Systems is a reference book for institutional research, appealing to novice and expert IR professionals and the administrators and policymakers that rely on their data. By presenting a variety of institutional perspectives, the book depicts the challenges and solutions to those in higher education administration, and state, federal, and even international accreditation.
