Machine Learning and Data Mining in Pattern Recognition

Explore the fascinating world of data science with Machine Learning and Data Mining in Pattern Recognition by Petra Perner. Published by Springer International Publishing AG in 2016, this comprehensive paperback edition spans an impressive 807 pages and is the first of its kind. This book delves into a variety of essential topics, including theoretical foundations for classification, clustering, association rules, and pattern mining. It also covers specialized data mining techniques tailored for multimedia data types, such as image mining, text mining, video mining, and web mining. Whether you are a student, researcher, or professional in the field, this book is an invaluable resource for understanding the intersection of machine learning and data mining. Enhance your knowledge and skills in pattern recognition with this authoritative guide.