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Advances in Knowledge Discovery and Data Mining

25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I

  • Conference proceedings
  • © 2021

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12712)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PAKDD 2021.

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About this book

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.

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Keywords

Table of contents (64 papers)

  1. Data Mining of Specialized Data

Editors and Affiliations

  • IIIT, Hyderabad, Hyderabad, India

    Kamal Karlapalem

  • Chinese University of Hong Kong, Shatin, Hong Kong

    Hong Cheng

  • Virginia Tech, Arlington, USA

    Naren Ramakrishnan

  • Jawaharlal Nehru University, New Delhi, India

    R. K. Agrawal

  • IIIT Hyderabad, Hyderabad, India

    P. Krishna Reddy

  • University of Minnesota, Minneapolis, USA

    Jaideep Srivastava

  • IIIT Delhi, New Delhi, India

    Tanmoy Chakraborty

Bibliographic Information

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