Advances in Knowledge Discovery and Data Mining

Explore the cutting-edge insights presented in Advances in Knowledge Discovery and Data Mining by Jinho Kim, published by Springer International Publishing AG in 2017. This comprehensive two-volume set, LNAI 10234 and 10235, features meticulously refereed proceedings from the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD 2017), held in Jeju, South Korea. Spanning an impressive 841 pages, this first edition delves into crucial topics such as spatio-temporal and sequential data mining, dynamic stream data mining, and behavioral data mining. Ideal for researchers, practitioners, and students alike, this book serves as an essential resource for anyone looking to deepen their understanding of the latest advancements in the field. Enhance your knowledge and stay ahead in the rapidly evolving world of data mining with this invaluable collection.