Advances in Knowledge Discovery and Data Mining
About this book
This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.
Reader Profile
3.8/5 · 5 readers · 624 pages · ≈ 11 h 33 m · Moderate
How long does it take to read Advances in Knowledge Discovery and Data Mining?
About ≈ 11 h 33 m — 624 pages, assuming roughly 250 words per page at 225 words per minute.
How many pages is Advances in Knowledge Discovery and Data Mining?
624 pages in its most-read edition.
Is Advances in Knowledge Discovery and Data Mining in the public domain?
No — it is still under copyright.
Who wrote Advances in Knowledge Discovery and Data Mining?
Dinh Phung.