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Author: Admin | 2025-04-28
18 chapters, more than twice as much as the previous version. This enabled the authors to cover the most relevant topics in more depth and incorporate the overview of recent research in the respective area. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining, data science and artificial intelligence. Similar content being viewed by others Keywords Table of contents (18 chapters) Basic Concepts and Architecture Advanced Techniques and Methods Organizing and Exploiting Metadata Back to top Authors and Affiliations Lab. of Art. Intel. and Decision Support, University of Porto, Porto, Portugal Pavel Brazdil Leiden Inst. of Advanced Computer Sci., Leiden University, Leiden, The Netherlands Jan N. van Rijn Porto Business School, Porto, Portugal Carlos Soares Dept. of Mathematics and Computer Sci., Technische Universiteit Eindhoven, Eindhoven, The Netherlands Joaquin Vanschoren About the authors Pavel B. Brazdil is a senior researcher at LIAAD INESC TEC, Porto and Full Professor at FEP, University of Porto, Portugal and since 2019, Professor Emeritus. He obtained his PhD in machine learning in 1981 at the University of Edinburgh. Since the 1990s he has pioneered the area of metalearning and supervised various PhD students in this area. His main interests lie in machine learning, data mining, algorithm selection, metalearning, AutoML and text mining, among others. He has edited 6 books and more than 110 papers referenced on Google Scholar, of which approximately 80 are also on ISI/DBLP/Scopus. He was a program chair of various machine learning conferences (e.g., in 1992,2005), has co-organized various workshops on metalearning and acted as a co-editor of two special issues of MLJ on this topic. He is a member of the editorial board of the Machine Learning Journal and a Fellow of EurAI. Jan N. van Rijn obtained his PhD in Computer
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