Analytical tools and algorithms are essential in business data and
information systems. Efficient economic and financial forecasting
in machine learning techniques increases gains while reducing
risks. Providing research on predictive models with high accuracy,
stability, and ease of interpretation is important in improving
data preparation, analysis, and implementation processes in
business organizations. Machine Learning Techniques for Improved
Business Analytics is a collection of innovative research on the
methods and applications of artificial intelligence in strategic
business decisions and management. Featuring coverage on a broad
range of topics such as data mining, portfolio optimization, and
social network analysis, this book is ideally designed for business
managers and practitioners, upper-level business students, and
researchers seeking current research on large-scale information
control and evaluation technologies that exceed the functionality
of conventional data processing techniques.
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