00921nam0-2200301 --450 991083610120332120250416125119.0979128106818620240308d2023----kmuy0itay5050 baitalatIT 001yyCarmina minoraSidonio Apollinaretesto, traduzione e note a cura di Stefania Santeliasaggio introduttivo di Silvia CondorelliNapoliLoffredo2023XC, 338 p.ill.21 cmStudi latini. Nuova serie97Testo originale a fronte871.01Sidonius Apollinaris185638Condorelli,SilviaSantelia,StefaniaITUNINAREICATUNIMARCBK9910836101203321P2B 640 SL 972024/1140FLFBCFLFBCCarmina minora4131838UNINA04625nam 22007815 450 991051369240332120251124123412.0981-16-8531-210.1007/978-981-16-8531-6(MiAaPQ)EBC6825134(Au-PeEL)EBL6825134(CKB)20106126100041(PPN)259386278(DE-He213)978-981-16-8531-6(BIP)82534042(BIP)82226083(EXLCZ)992010612610004120211208d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierData Mining 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings /edited by Yue Xu, Rosalind Wang, Anton Lord, Yee Ling Boo, Richi Nayak, Yanchang Zhao, Graham Williams1st ed. 2021.Singapore :Springer Nature Singapore :Imprint: Springer,2021.1 online resource (244 pages)Communications in Computer and Information Science,1865-0937 ;1504Print version: Xu, Yue Data Mining Singapore : Springer Singapore Pte. Limited,c2022 9789811685309 Includes bibliographical references and index.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.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. .Communications in Computer and Information Science,1865-0937 ;1504Data miningArtificial intelligenceApplication softwareSocial sciencesData processingComputer engineeringComputer networksComputer scienceMathematicsData Mining and Knowledge DiscoveryArtificial IntelligenceComputer and Information Systems ApplicationsComputer Application in Social and Behavioral SciencesComputer Engineering and NetworksMathematics of ComputingData mining.Artificial intelligence.Application software.Social sciencesData processing.Computer engineering.Computer networks.Computer scienceMathematics.Data Mining and Knowledge Discovery.Artificial Intelligence.Computer and Information Systems Applications.Computer Application in Social and Behavioral Sciences.Computer Engineering and Networks.Mathematics of Computing.943.005Xu YueMiAaPQMiAaPQMiAaPQBOOK9910513692403321Data Mining772581UNINA