Data Mining (eBook, PDF)

20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings
Redaktion: Park, Laurence A. F.; Simoff, Simeon; Williams, Graham; Zhao, Yanchang; Koh, Yun Sing; Boo, Yee Ling; Doborjeh, Maryam; Gomes, Heitor Murilo

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 20th Australasian Conference on Data Mining, AusDM 2022, held in Western Sydney, Australia, during December 12-15, 2022.

The 17 full papers included in this book were carefully reviewed and selected from 44 submissions. They were organized in topical sections as ¿research track and application track.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 245
• Erscheinungstermin: 5. Dezember 2022
• Englisch
• ISBN-13: 9789811987465
• Artikelnr.: 66829085

Inhaltsangabe

Research Track.- Measuring Content Preservation in Textual Style Transfer.- A Temperature-Modified Dynamic Embedded Topic Model.- Measuring Difficulty of Learning using Ensembles Methods.- Graph Embeddings for Non-IID Data Feature Representation Learning.- Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations.- WinDrift: Early Detction of Concept Drift through the use of Corresponding and Hierarchical Time Windows.- Investigation of Explainability Techniques for Multimodal Transformers.- Effective Imbalance Learning Utilizing Informative Data.- Interpretable Decision Tree via Human-In-The-Loop-Learning.- Application Track.- A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets.- Hierarchical Topic Model Inference by Community Discovery on Word Co-Occurrence Networks.- UMLS-Based Question-Answering Approach for Automatic Initial Frailty Assessment.- Natural Language Query For Technical Knowledge Graph Navigation.- Decomposition of Service Level Encoding for Anomaly Detcion.- Improving Ads-Profitability Using Traffic Fingerprints.- Attractiveness Analysis for Health Claims on Food Packages.- SchedmaDB: A Dataset for Structures in Relational Data.