Skip to main content
Springer Nature Link
Log in

Advances in Knowledge Discovery and Data Mining

27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part III

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Hisashi Kashima

    1. Kyoto University, Kyoto, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Tsuyoshi Ide

    1. IBM Research, Thomas J. Watson Research Center, Yorktown Heights, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Wen-Chih Peng

    1. National Chiao Tung University, Hsinchu, Taiwan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13937)

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

Included in the following conference series:

Conference proceedings info: PAKDD 2023.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023.

The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with 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, big data technologies, and foundations.

Similar content being viewed by others

Keywords

Table of contents (31 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Big Data

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Toward Explainable Recommendation via Counterfactual Reasoning

      • Haiyang Xia, Qian Li, Zhichao Wang, Gang Li
      Pages 3-15

    3. Online Volume Optimization for Notifications via Long Short-Term Value Modeling

      • Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu et al.
      Pages 16-28

    4. Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases

      • Palla Likhitha, Pamalla Veena, Uday Kiran Rage, Koji Zettsu
      Pages 29-41

  3. Financial Data

    1. Front Matter

      Pages 43-43
      Download chapter PDF

    2. Joint Latent Topic Discovery and Expectation Modeling for Financial Markets

      • Lili Wang, Chenghan Huang, Chongyang Gao, Weicheng Ma, Soroush Vosoughi
      Pages 45-57

    3. Let the Model Make Financial Senses: A Text2Text Generative Approach for Financial Complaint Identification

      • Sarmistha Das, Apoorva Singh, Raghav Jain, Sriparna Saha, Alka Maurya
      Pages 58-69

  4. Information Retrieval and Search

    1. Front Matter

      Pages 71-71
      Download chapter PDF

    2. Web-Scale Semantic Product Search with Large Language Models

      • Aashiq Muhamed, Sriram Srinivasan, Choon-Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi et al.
      Pages 73-85Open Access

    3. Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval

      • Mengmeng Kuang, Zhenhong Chen, Weiyan Wang, Lie Kang, Qiang Yan, Min Tang et al.
      Pages 86-98

    4. Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion

      • Qiao Qiao, Yuepei Li, Kang Zhou, Qi Li
      Pages 99-111

    5. MFBE: Leveraging Multi-field Information of FAQs for Efficient Dense Retrieval

      • Debopriyo Banerjee, Mausam Jain, Ashish Kulkarni
      Pages 112-124

    6. Isotropic Representation Can Improve Dense Retrieval

      • Euna Jung, Jungwon Park, Jaekeol Choi, Sungyoon Kim, Wonjong Rhee
      Pages 125-137

    7. Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification

      • Yanhu Li, Taolin Zhang, Dongyang Li, Xiaofeng He
      Pages 138-149

  5. Internet of Things

    1. Front Matter

      Pages 151-151
      Download chapter PDF

    2. MIDFA: Memory-Based Instance Division and Feature Aggregation Network for Video Object Detection

      • Qiaochuan Chen, Min Zhou, Hang Yu
      Pages 153-164

  6. Medical and Biological Data

    1. Front Matter

      Pages 165-165
      Download chapter PDF

    2. Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation

      • Neel Kanwal, Trygve Eftestøl, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Kjersti Engan
      Pages 167-179

    3. Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis

      • Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
      Pages 180-191
Back to top

Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. Advances in Knowledge Discovery and Data Mining

  4. Advances in Knowledge Discovery and Data Mining

Editors and Affiliations

  • Kyoto University, Kyoto, Japan

    Hisashi Kashima

  • IBM Research, Thomas J. Watson Research Center, Yorktown Heights, USA

    Tsuyoshi Ide

  • National Chiao Tung University, Hsinchu, Taiwan

    Wen-Chih Peng

Bibliographic Information

Publish with us

Policies and ethics

Back to top