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Australasian Conference on Data Mining (2022 :)

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Data mining = 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data mining/ edited by Laurence A. F. Park ... [et al.].
Reminder of title:	20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022 : proceedings /
other author:	Park, Laurence A. F.
corporate name:	Australasian Conference on Data Mining
Published:	Singapore :Springer Nature Singapore : : 2022.,
Description:	xiii, 245 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Data mining - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-19-8746-5
ISBN:	9789811987465

Data mining = 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022 : proceedings /
Data mining20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022 : proceedings /[electronic resource] :edited by Laurence A. F. Park ... [et al.]. - Singapore :Springer Nature Singapore :2022. - xiii, 245 p. :ill., digital ;24 cm. - Communications in computer and information science,17411865-0937 ;. - Communications in computer and information science ;1741..

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.

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.

ISBN: 9789811987465

Standard No.: 10.1007/978-981-19-8746-5doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Data mining = 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022 : proceedings /
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