Advances in Knowledge Discovery and Data Mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11¿14, 2021, Proceedings, Part I

Kamal Karlapalem

ISBN 10: 3030757617 / ISBN 13: 9783030757618

Published by Springer International Publishing, 2021

About this Item

Druck auf Anfrage Neuware - Printed after ordering - The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows:Part I: Applications of knowledge discovery and data mining of specialized data;Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics;Part III: Representation learning and embedding, and learning from data.

Seller Inventory # 9783030757618

Bibliographic Details

• Title: Advances in Knowledge Discovery and Data Mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11¿14, 2021, Proceedings, Part I
• Publisher: Springer International Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 3030757617
• ISBN 13: 9783030757618
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 47D millimeters 235 millimeters width by 155 millimeters height by 47 millimeters depth
• Weight: 1293 grams

About this title

Synopsis

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.

The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows:

Part I: Applications of knowledge discovery and data mining of specialized data;

Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics;

Part III: Representation learning and embedding, and learning from data.