Data Mining
20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings
Published on 6. December 2022
Book
Paperback/Softback
XIII, 245 pages
978-981-19-8745-8 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
78 farbige Abbildungen, 4 s/w Abbildungen
XIII, 245 p. 82 illus., 78 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 15 mm
Weight
400 gr
ISBN-13
978-981-19-8745-8 (9789811987458)
DOI
10.1007/978-981-19-8746-5
Schweitzer Classification
Other editions
Additional editions
Laurence A. F. Park | Heitor Murilo Gomes | Maryam Doborjeh
Data Mining
20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings
E-Book
12/2022
Springer
€80.24
Available for download
Content
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.