Data Mining
Editat de Laurence A. F. Park, Heitor Murilo Gomes, Maryam Doborjeh, Yee Ling Boo, Yun Sing Koh, Yanchang Zhao, Graham Williams, Simeon Simoffen Limba Engleză Paperback – 6 dec 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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Specificații
ISBN-13: 9789811987458
ISBN-10: 9811987459
Pagini: 260
Ilustrații: XIII, 245 p. 82 illus., 78 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:1st edition 2022
Editura: Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9811987459
Pagini: 260
Ilustrații: XIII, 245 p. 82 illus., 78 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:1st edition 2022
Editura: Springer
Locul publicării:Singapore, Singapore
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Cuprins
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.