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Descriptive Data Mining - Lauhoff, Georg

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      Avis sur Descriptive Data Mining de Lauhoff, Georg Format Relié  - Livre Encyclopédies, Dictionnaires

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      Présentation Descriptive Data Mining de Lauhoff, Georg Format Relié

       - Livre Encyclopédies, Dictionnaires

      Livre Encyclopédies, Dictionnaires - Lauhoff, Georg - 01/05/2019 - Relié - Langue : Anglais

      . .

    • Auteur(s) : Lauhoff, Georg - Olson, David L.
    • Editeur : Springer Singapore
    • Langue : Anglais
    • Parution : 01/05/2019
    • Format : Moyen, de 350g à 1kg
    • Nombre de pages : 144
    • Expédition : 389
    • Dimensions : 24.1 x 16.0 x 1.4
    • ISBN : 9789811371806



    • Résumé :

      This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports of what has happened. Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability. It also includes classification modeling. Diagnostic analytics can apply analysis to sensor input to direct control systems automatically. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems. Data mining includes descriptive and predictive modeling. Operations research includes all three. This book focuses on descriptive analytics.
      The book seeks to provide simple explanations and demonstration of some descriptive tools. This second edition provides more examples of big data impact, updates the content on visualization, clarifies some points, and expands coverage of association rules and cluster analysis. Chapter 1 gives an overview in the context of knowledge management. Chapter 2 discusses some basic software support to data visualization. Chapter 3 covers fundamentals of market basket analysis, and Chapter 4 provides demonstration of RFM modeling, a basic marketing data mining tool. Chapter 5 demonstrates association rule mining. Chapter 6 is a more in-depth coverage of cluster analysis. Chapter 7 discusses link analysis.
      Models are demonstrated using business related data. The style of the book is intended to be descriptive, seeking to explain how methods work, with some citations, but without deep scholarly reference. The data sets and software are all selected for widespread availability and access by any reader with computer links.
      ...

      Biographie:
      Desheng Wu is a Special-term Professor at University of Chinese Academy of Sciences, Beijing, China, and a Professor at Stockholm University, Sweden. He has published over 150 ISI-indexed papers in refereed journals, such as Production and Operations Management, Decision Sciences, Risk Analysis, and IEEE Transactions on Systems, Man, and Cybernetics, as well as 7 books with publishers like Springer. He is an elected member of Academia Europaea (The Academy of Europe), the European Academy of Sciences and Arts, and the International Eurasian Academy of Sciences. He has served as an associate editor and a guest editor for several journals, such as Risk Analysis, IEEE Transactions on Systems, Man, and Cybernetics, the Annals of Operations Research, Computers and Operations Research, the International Journal of Production Economics, and Omega. He is the editor of Springer's book series on computational risk management. David L. Olson is the James & H.K. Stuart Professor andChancellor's Professor at the University of Nebraska, USA. He has published research in over 200 refereed journal articles and has authored over 40 books, including Decision Aids for Selection Problems, Introduction to Information Systems Project Management, Managerial Issues of Enterprise Resource Planning Systems, Supply Chain Risk Management, and Supply Chain Information Technology. He has served as associate editor of Service Business, Decision Support Systems, and Decision Sciences and co-editor in chief of International Journal of Services Sciences. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, and the Multiple Criteria Decision Making Society. He was a Lowry Mays endowed Professor at Texas A&M University from 1999 to 2001. He has named the Raymond E. Miles Distinguished Scholar award for 2002 and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He was named Best Enterprise Information Systems Educator by IFIP in 2006. He is a Fellow of the Decision Sciences Institute....

      Sommaire:
      David L. Olson is the James & H.K. Stuart Professor in MIS and Chancellor's Professor at the University of Nebraska-Lincoln, USA. He has published research in over 200 refereed journal articles and has authored over 40 books. He has served as associate editor of a number of journals and made hundreds of presentations at international and national conferences on research topics. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, and the Multiple Criteria Decision Making Society. He was a Lowry Mays endowed Professor at Texas A&M University from 1999 to 2001. He was named Best Enterprise Information Systems Educator by the IFIP in 2006. He is a Fellow of the Decision Sciences Institute. Dr. ?zg?r Araz is the Ron and Carol Cope Professor and Professor of Supply Chain Management and Analytics at the University of Nebraska-Lincoln, USA. His research interests include systems simulation, business analytics, healthcare operations and public health informatics. His research has been supported by the NIH, Veterans Engineering Resource Center (VERC), HDR company, Boys Town of Nebraska, Nebraska Medicine and the University of Nebraska. Before joining the College of Business at UNL, he served at the College of Public Health at the University of Nebraska Medical Center (UNMC). He received his Ph.D. in Industrial Engineering from Arizona State University and was a postdoctoral research fellow at the Center for Computational Biology and Bioinformatics of the University of Texas at Austin. He is an editorial advisory board member of the Transportation Research Part E and also serves as associate editor for Decision Sciences and IISE Transactions on Healthcare Systems Engineering. He is the Public Health Informatics Area Editor for the journal Health Systems. He is also a faculty fellow of the Nebraska Governance and Technology Center and Daugherty Water for Food Global Institute....

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