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Data Mining: 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings 1st ed. 2021 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 235 pages, height x width: 235x155 mm, weight: 391 g, 45 Illustrations, color; 16 Illustrations, black and white; XII, 235 p. 61 illus., 45 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1504
  • Izdošanas datums: 09-Dec-2021
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811685304
  • ISBN-13: 9789811685309
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Data Mining: 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings 1st ed. 2021Palielināt
  • Formāts: Paperback / softback, 235 pages, height x width: 235x155 mm, weight: 391 g, 45 Illustrations, color; 16 Illustrations, black and white; XII, 235 p. 61 illus., 45 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1504
  • Izdošanas datums: 09-Dec-2021
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811685304
  • ISBN-13: 9789811685309
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789811685309.html
This book constitutes the refereed proceedings of the 19th Australasian Conference on Data Mining, AusDM 2021, held in Brisbane, Queensland, Australia, in December 2021.* 

The 16 revised full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in sections on research track and application track. 

*Due to the COVID-19 pandemic the conference was held online. 

Research Track.- Parallel Nonlinear Dimensionality Reduction Using GPU
Acceleration.- Taking the Confusion out of Multinomial Confusion Matrices and
Imbalanced Classes.- Sharpshooting Most Beneficial Part of AUC for Detecting
Malicious Logs.-  A Drift Aware Hierarchical Test based Approach for
Combating Spammers in Online Social Networks.- Hospital Readmission
Prediction Using Semantic Relations Between Medical Codes.- HFM++: An
Enhanced Holographic Factorization Machine for Recommendation.- Deep Learning
for Bias Detection: From Inception to Deployment.- Exploring Fusion
Strategies in Deep Learning Models for
Multi-modal Classification.- Application Track.- Chameleon: A Python Workflow
Toolkit for Feature Selection.- PostMatch: A Framework for Efficient Address
Matching.- Detection of Classical Cipher Types with Feature-Learning
Approach.-  SOMPS-Net: Attention based Social Graph Framework for Early
Detection of Fake Health News.- How to Read the News: A Study of How
Sentiment Effects Financial Markets.- Investigation of Topic Modelling
Methods for Understanding the Reports of the Mining Projects in
Queensland.- A Semi-Automatic Data Extraction System for Heterogeneous
Data Sources: A Case Study from Cotton Industry.- Nonnegative Matrix
Factorization to Understand Spatio-Temporal Traffic Pattern Variations during
COVID-19: A Case Study.