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 |
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版 | 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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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 |
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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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