Advances in Knowledge Discovery and Data Mining

Discover the cutting-edge insights in the field of data science with Advances in Knowledge Discovery and Data Mining, authored by Qiang Yang and published by Springer Nature Switzerland AG in 2019. This comprehensive volume, part of the LNAI series, compiles the thoroughly refereed proceedings from the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), which took place in Macau, China. Spanning an impressive 631 pages, this edition features 137 full papers that were meticulously selected from over 542 submissions, showcasing the latest advancements and research in knowledge discovery and data mining. Ideal for researchers, practitioners, and students alike, this book offers invaluable contributions to the evolving landscape of data analysis and machine learning.