Data Science : Foundations and Applications : 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026, Hong Kong, China, June 9-12, 2026, Proceedings, Part I

Hanghang Tong

ISBN 10: 9819219256 / ISBN 13: 9789819219254

Published by Springer Nature B.V. Aug 2026, 2026

About this Item

Druck auf Anfrage Neuware - Printed after ordering - The two-volume set LNAI 16617-16618 constitutes the proceedings of the 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026 Special Session, held in Hong Kong, China, during June 9 12, 2026.The 97 full papers included in this set were carefully reviewed and selected from 728 submissions.These papers were divided into two tracks: the Survey Track, the Main & LLM Track.The Survey Track contains survey papers that are intended to provide a structured synthesis of a particular topic in the area of data mining, including but not limited to theoretical foundations of mining, inference, and learning, big data technologies, as well as security, privacy, and integrity, for the perusal of junior researchers and of experts from other research fields.The Main & LLM Track covers research papers on knowledge discovery, data science, machine learning, and LLMs for data science.

Seller Inventory # 9789819219254

Bibliographic Details

• Title: Data Science : Foundations and Applications : 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026, Hong Kong, China, June 9-12, 2026, Proceedings, Part I
• Publisher: Springer Nature B.V. Aug 2026
• Publication Date: 2026
• Language: English
• ISBN 10: 9819219256
• ISBN 13: 9789819219254
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 34D millimeters 234 millimeters width by 156 millimeters height by 34 millimeters depth
• Weight: 931 grams

About this title

Synopsis

The two-volume set LNAI 16617-16618 constitutes the proceedings of the 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026 Special Session, held in Hong Kong, China, during June 9–12, 2026.

The 97 full papers included in this set were carefully reviewed and selected from 728 submissions. 

These papers were divided into two tracks: the Survey Track, the Main & LLM Track.

The Survey Track contains survey papers that are intended to provide a structured synthesis of a particular topic in the area of data mining, including but not limited to theoretical foundations of mining, inference, and learning, big data technologies, as well as security, privacy, and integrity, for the perusal of junior researchers and of experts from other research fields.

The Main & LLM Track covers research papers on knowledge discovery, data science, machine learning, and LLMs for data science.