Dursun Delen

Predictive Analytics

Data Mining, Machine Learning and Data Science for Practitioners, 2nd Edition

Ebook (PDF Format)

Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions. In this thoroughly updated guide, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers key data mining processes and methods, relevant data management techniques, tools and metrics, advanced text and web mining, big data integration, and muc… Mehr

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Produktdetails

ISBN: 978-0-13-594655-8
EAN: 9780135946558
Produktnummer: 36003103
Verlag: Pearson ITP
Sprache: Englisch
Erscheinungsjahr: 2020
Plattform: PDF
Masse: 9'242 KB
Auflage: 2. Auflage

Über den Autor

Dr. Dursun Delen is an internationally renowned expert in business analytics, data science, and machine learning. He is often invited to national and international conferences to deliver keynote presentations on topics related to data/text mining, business intelligence, decision support systems, business analytics, data science, and knowledge management. Prior to his appointment as a professor at Oklahoma State University in 2001, Dr. Delen worked for industry for more than 10 years, developing and delivering business analytics solutions to companies. His most recent industrial work was at a privately owned applied research and consulting company, Knowledge Based Systems, Inc. (KBSI), in College Station, Texas, as a research scientist. During his five years at KBSI, Dr. Delen led a number of projects related to decision support systems, enterprise engineering, information systems development, and advanced business analytics that were funded by private industry and federal agencies, including several branches of the Department of Defense, NASA, National Science Foundation, National Institute for Standards and Technology, and the Department of Energy. Today, in addition to his academic endeavors, Dr. Delen provides professional education and consulting services to businesses in assessing their analytics, data science, and information system needs and helping them develop state-of-the-art computerized decision support systems. In his current academic position, Dr. Delen holds the William S. Spears Endowed Chair in Business Administration and the Patterson Family Endowed Chair in Business Analytics, and he is the director of research for the Center for Health Systems Innovation and regents' professor of management science and information systems in the Spears School of Business at Oklahoma State University. He has published more than 150 peer-reviewed research articles that have appeared in major journals, including Journal of Business Research, Journal of Business Analytics, Decision Sciences Journal, Decision Support Systems, Communications of the ACM, Computers & Operations Research, Annals of Operations Research, Computers in Industry, Journal of Production Operations Management, Artificial Intelligence in Medicine, Journal of the American Medical Informatics Association, Expert Systems with Applications, Renewable and Sustainable Energy Reviews, Energy, and Renewable Energy, among others. He has also authored and coauthored 11 books and textbooks in the broad area of business analytics, data science, and business intelligence. Dr. Delen regularly chairs tracks and minitracks at various business analytics and information systems conferences. Currently, he is the editor-in-chief for the Journal of Business Analytics and AI in Business (in Frontiers in Artificial Intelligence), senior editor for the Journal of Decision Support Systems, Decision Sciences, and Journal of Business Research, associate editor for Decision Analytics, International Journal of Information and Knowledge Management, and International Journal of RF Technologies, and is on the editorial boards of several other academic journals. He has been the recipient of several research and teaching awards, including the prestigious Fulbright scholar, regents' distinguished teacher and researcher, president's outstanding researcher, and Big Data mentor awards.