Advances in Knowledge Discovery and Data Mining

Discover the cutting-edge insights in "Advances in Knowledge Discovery and Data Mining," authored by Jinho Kim and published by Springer International Publishing AG in 2017. This comprehensive two-volume set, LNAI 10234 and 10235, presents the thoroughly 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 857 pages, this first edition covers essential topics such as spatio-temporal and sequential data mining, dynamic stream data mining, and behavioral data mining. Ideal for researchers, practitioners, and students, this book is a vital resource for anyone looking to deepen their understanding of data mining advancements. Enhance your knowledge and stay ahead in the rapidly evolving field of data science with this essential collection.