Machine Learning and Data Mining in Pattern Recognition

Discover the fascinating world of data analysis with Machine Learning and Data Mining in Pattern Recognition by Petra Perner. Published in 2017 by Springer International Publishing AG, this comprehensive paperback edition spans 452 pages and is an essential resource for anyone interested in the intersection of machine learning and data mining.

This book delves into a variety of theoretical topics including classification, clustering, association rule learning, and pattern mining. It also explores specific data mining techniques tailored for various multimedia data types, such as image mining, text mining, video mining, and web mining. With its in-depth coverage and expert insights, this first edition is perfect for researchers, practitioners, and students looking to enhance their understanding of pattern recognition in the digital age.

Enhance your knowledge and skills in machine learning and data mining with this invaluable resource!