Advances in Knowledge Discovery and Data Mining

22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I
1. Auflage 2018
ISBN: 978-3-319-93033-6
Verlag: Springer International Publishing

Buch, Englisch, Band 10937, 701 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1089 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Phung, Dinh

Tseng, Vincent S.

Rashidi, Lida

Webb, Geoffrey I.

Ho, Bao

Ganji, Mohadeseh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme