Machine Learning for Data Science Handbook (eBook)

Data Mining and Knowledge Discovery Handbook

Lior Rokach, Oded Maimon, Erez Shmueli (Herausgeber)

eBook Download: PDF

2023 | 3., Third Edition 2023
VII, 985 Seiten
Springer International Publishing (Verlag)
978-3-031-24628-9 (ISBN)

Infos

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

Prof. Oded Maimon is the Oracle chaired Professor at Tel-Aviv University, Previously at MIT. Oded is a leader expert in the field of data mining and knowledge discovery. He published many articles on new algorithms and seven significant award winning books in the field since 2000. He has also developed and implemented successful applications in the Industry. He heads an international research group sponsored by European Union awards.

Dr. Lior Rokach is a senior lecturer at the Department of Information System Engineering at Ben-Gurion University. He is a recognized expert in intelligent information systems and has held several leading positions in this field. His main areas of interest are Data Mining, Pattern Recognition, and Recommender Systems. Dr. Rokach is the author of over 70 refereed papers in leading journals, conference proceedings and book chapters. In addition he has authored six books and edited three others books.

Produkt-Details

• Erscheint lt. Verlag: 17.8.2023
• Zusatzinfo: VII, 985 p. 214 illus., 156 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: Analytics • Artificial Intelligence • autoencoder • Clustering • Data imputation • Data Mining • Data Science • decision trees • Deep learning • dimensionality reduction • ensemble learning • generative adversarial networks • Knowledge Discovery • machine learning • Neural networks • privacy preserving • Recommender System • Text Mining • Web mining
• ISBN-10: 3-031-24628-4 / 3031246284
• ISBN-13: 978-3-031-24628-9 / 9783031246289