Advanced Data Mining and Applications

Discover the cutting-edge insights in "Advanced Data Mining and Applications" by Jinyan Li, published by Springer International Publishing AG in 2016. This comprehensive volume spans 817 pages and presents a collection of selected papers that delve into a diverse range of critical topics in the field of data mining. Explore advanced concepts such as parallel and distributed data mining algorithms, mining on data streams, and graph mining. Additionally, the book covers essential areas like spatial data mining, multimedia data mining, Web mining, and the Internet of Things. It also addresses the significant applications of data mining in health informatics and biomedical contexts. This first edition is an invaluable resource for researchers, practitioners, and students looking to deepen their understanding of data mining techniques and their real-world applications.