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Data Mining : 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12–15, 2022, Proceedings / edited by Laurence A. F. Park, Heitor Murilo Gomes, Maryam Doborjeh, Yee Ling Boo, Yun Sing Koh, Yanchang Zhao, Graham Williams, Simeon Simoff
(Communications in Computer and Information Science. ISSN:18650937 ; 1741)

データ種別 電子ブック
1st ed. 2022.
出版者 (Singapore : Springer Nature Singapore : Imprint: Springer)
出版年 2022
大きさ XIII, 245 p. 82 illus., 78 illus. in color : online resource
著者標目 Park, Laurence A. F editor
Gomes, Heitor Murilo editor
Doborjeh, Maryam editor
Boo, Yee Ling editor
Koh, Yun Sing editor
Zhao, Yanchang editor
Williams, Graham editor
Simoff, Simeon editor
SpringerLink (Online service)

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射水-電子 007 EB0001191 Computer Scinece R0 2005-6,2022-3

9789811987465

書誌詳細を非表示

一般注記 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
HTTP:URL=https://doi.org/10.1007/978-981-19-8746-5
件 名 LCSH:Data mining
LCSH:Artificial intelligence
LCSH:Image processing -- Digital techniques  全ての件名で検索
LCSH:Computer vision
LCSH:Education -- Data processing  全ての件名で検索
LCSH:Computer science -- Mathematics  全ての件名で検索
FREE:Data Mining and Knowledge Discovery
FREE:Artificial Intelligence
FREE:Computer Imaging, Vision, Pattern Recognition and Graphics
FREE:Computers and Education
FREE:Mathematics of Computing
分 類 LCC:QA76.9.D343
DC23:006.312
書誌ID EB00000579
ISBN 9789811987465

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