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Advances in knowledge discovery and data mining : 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings. Part IV / De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin, editors.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science. Lecture notes in artificial intelligence. | Lecture notes in computer science ; 14648. | LNCS sublibrary. SL 7, Artificial intelligence.Publisher: Singapore : Springer, 2024Description: 1 online resource (xxxiii, 352 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819722389
  • 9819722381
Other title:
  • PAKDD 2024
Subject(s): DDC classification:
  • 006.3/12 23/eng/20240508
LOC classification:
  • QA76.9.D343
Online resources:
Contents:
Intro -- General Chairs' Preface -- PC Chairs' Preface -- Organization -- Contents - Part IV -- Financial Data -- Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal -- 1 Introduction -- 2 Preliminaries -- 3 Approach -- 3.1 Graph Construction -- 3.2 Transaction Encoding -- 3.3 Neighbor Aggregator -- 3.4 Community Aggregator -- 3.5 Dynamic Adaptor -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Overall Performance -- 4.3 Ablation Study -- 5 Conclusion -- References -- Multi-time Window Ensemble and Maximization of Expected Return for Stock Movement Prediction
1 Introduction -- 2 Related Works -- 3 Proposed Model -- 3.1 Problem Formulation -- 3.2 Multi-time Window Ensemble Classifier -- 3.3 Base Learner -- 3.4 Proposed Loss Function for Base Learner -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Predictive Performance Comparison -- 4.3 Trading Performance Comparison -- 4.4 Ablation Study -- 4.5 Visualization of Proposed Loss Function -- 5 Conclusion -- References -- MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading -- 1 Introduction -- 2 Problem Formulation -- 3 Methodology -- 3.1 Imitation Learning
3.2 Pretrain Module -- 3.3 Multiple Actors -- 3.4 Optimal Transport Regularization -- 4 Experiments -- 4.1 Dataset -- 4.2 Baselines, Evaluation Metrics and Hyperparameters -- 4.3 Experimental Results -- 4.4 Ablation Study -- 5 Related Work -- 6 Conclusion -- References -- Agent-Based Simulation of Decision-Making Under Uncertainty to Study Financial Precarity -- 1 Introduction -- 2 Background: Modeling Consumption -- 2.1 Capturing Uncertainty -- 3 The Framework: Introducing Real Constraints -- 3.1 Background: Modeling Ruin -- 3.2 Our New Model -- 4 Simulation Study: Precarity
4.1 Long Term Precarity -- 4.2 Factors Contributing to Precarity -- 5 Simulation Study: Interventions -- 6 Related Work -- 7 Conclusions -- References -- Information Retrieval and Search -- Semantic Completion: Enhancing Image-Text Retrieval with Information Extraction and Compression -- 1 Introduction -- 2 Related Work -- 2.1 Dual-Stream Structure -- 2.2 Single-Stream Structure -- 3 Methodology -- 3.1 Overview -- 3.2 Information Extraction and Compression (IEC) -- 3.3 Training Tasks -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Comparison to Baseline -- 4.3 Ablation Study -- 5 Conclusion
Summary: The 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7-10, 2024. The 177 papers presented in these proceedings were carefully reviewed and selected from 720 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.
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The 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7-10, 2024. The 177 papers presented in these proceedings were carefully reviewed and selected from 720 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.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed May 8, 2024).

Intro -- General Chairs' Preface -- PC Chairs' Preface -- Organization -- Contents - Part IV -- Financial Data -- Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal -- 1 Introduction -- 2 Preliminaries -- 3 Approach -- 3.1 Graph Construction -- 3.2 Transaction Encoding -- 3.3 Neighbor Aggregator -- 3.4 Community Aggregator -- 3.5 Dynamic Adaptor -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Overall Performance -- 4.3 Ablation Study -- 5 Conclusion -- References -- Multi-time Window Ensemble and Maximization of Expected Return for Stock Movement Prediction

1 Introduction -- 2 Related Works -- 3 Proposed Model -- 3.1 Problem Formulation -- 3.2 Multi-time Window Ensemble Classifier -- 3.3 Base Learner -- 3.4 Proposed Loss Function for Base Learner -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Predictive Performance Comparison -- 4.3 Trading Performance Comparison -- 4.4 Ablation Study -- 4.5 Visualization of Proposed Loss Function -- 5 Conclusion -- References -- MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading -- 1 Introduction -- 2 Problem Formulation -- 3 Methodology -- 3.1 Imitation Learning

3.2 Pretrain Module -- 3.3 Multiple Actors -- 3.4 Optimal Transport Regularization -- 4 Experiments -- 4.1 Dataset -- 4.2 Baselines, Evaluation Metrics and Hyperparameters -- 4.3 Experimental Results -- 4.4 Ablation Study -- 5 Related Work -- 6 Conclusion -- References -- Agent-Based Simulation of Decision-Making Under Uncertainty to Study Financial Precarity -- 1 Introduction -- 2 Background: Modeling Consumption -- 2.1 Capturing Uncertainty -- 3 The Framework: Introducing Real Constraints -- 3.1 Background: Modeling Ruin -- 3.2 Our New Model -- 4 Simulation Study: Precarity

4.1 Long Term Precarity -- 4.2 Factors Contributing to Precarity -- 5 Simulation Study: Interventions -- 6 Related Work -- 7 Conclusions -- References -- Information Retrieval and Search -- Semantic Completion: Enhancing Image-Text Retrieval with Information Extraction and Compression -- 1 Introduction -- 2 Related Work -- 2.1 Dual-Stream Structure -- 2.2 Single-Stream Structure -- 3 Methodology -- 3.1 Overview -- 3.2 Information Extraction and Compression (IEC) -- 3.3 Training Tasks -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Comparison to Baseline -- 4.3 Ablation Study -- 5 Conclusion

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