000 03606cam a2200577Ii 4500
003 OCoLC
005 20240807154102.0
008 211215s2021 si a o 101 0 eng d
020 _a9789811685316
020 _a9811685312
020 _z9789811685309
020 _z9811685304
041 _aEnglish
049 _aMAIN
072 7 _aUNF
_2bicssc
072 7 _aCOM021030
_2bisacsh
072 7 _aUNF
_2thema
072 7 _aUYQE
_2thema
082 0 4 _a006.312
_223
_bXU
111 2 _aAustralasian Conference on Data Mining
_n(19th :
_d2021 :
_cOnline).
245 1 0 _aData mining :
_b19th Australasian Conference on Data Mining, AusDM, Brisbane, QLD, Australia, December 14-15, 2021 : proceedings /
_cYue Xu, Rosalind Wang, Anton Lord, Yee Ling Boo, Richi Nayak, Yanchang Zhao, Graham Williams (eds.).
246 3 0 _aAusDM.
260 _aSingapore :
_bSpringer,
_c2021.
300 _a1 online resource :
_billustrations (some color).
490 1 _aCommunications in computer and information science,
_x1865-0937 ;
_v1504.
500 _aInternational conference proceedings.
500 _aIncludes author index.
505 _tResearch 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
520 _aThis 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
650 0 _aData mining
650 0 _vCongresses.
700 1 _aXu, Yue,
700 1 _aWang, Rosalind,
700 1 _aLord, Anton,
700 1 _aBoo, Yee Ling,
700 1 _aNayak, Richi,
700 1 _aZhao, Yanchang,
700 1 _aWilliams, Graham J.,
700 1 _eeditor.
700 1 _eeditor.
700 1 _eeditor.
700 1 _eeditor.
700 1 _eeditor.
700 1 _d1977-
_eeditor.
700 1 _eeditor.
830 0 _aCommunications in computer and information science ;
_v1504.
856 4 0 _uhttps://ezproxy.lib.gla.ac.uk/login?url=https://link.springer.com/10.1007/978-981-16-8531-6
856 4 0 _zConnect to e-book
907 _a.b38464809
942 _2ddc
_cBOOKS
999 _c43341
_d43341