Data Science: Foundations and Applications

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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

Educational equipment and technology, computer-aided learning (CAL) Electronics engineering Network hardware Mathematical theory of computation Maths for computer scientists Artificial intelligence Digital signal processing (DSP)

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Collection: Lecture Notes in Computer Science

Language: English

Published by: Springer

Published on: 29th June 2026

Format: LCP-protected ePub

ISBN: 9789819219261


Proceedings of the 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026

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.

Survey 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.

Main & LLM Track

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

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