05927nam a22006495i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001300172050001400185072001600199072002300215072001500238245027200253250001800525264007200543300006600615336002600681337002600707338003600733347002400769490006600793505231300859520068103172650003603853650002603889650003203915650002203947650004703969650004504016650002604061650003604087650003904123650003004162650006704192650006704259650005104326700007504377700007504452700007404527700007704601700014504678700015004823710003404973773002605007776003605033776003605069830006605105856004605171912001405217912001505231912001405246999001705260978-981-97-5489-2DE-He21320251030114951.0cr nn 008mamaa240726s2024    si |    s    |||| 0|eng d  a97898197548929978-981-97-5489-27 a10.1007/978-981-97-5489-22doi 4aQ334-342 4aTA347.A78 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema10aKnowledge Science, Engineering and Managementh[electronic resource] :b17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part V /cedited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXIII, 328 p. 99 illus., 83 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Artificial Intelligence,x2945-9141 ;v148880 a -- Special Track.  -- Adversary and Attention Guided Knowledge Graph Reasoning based on Reinforcement Learning.  -- Evaluating GPT’s Programming Capability through CodeWars’ Katas.  -- An Online Portfolio Selection Algorithm with Dynamic Coreset Construction.  -- Interval-valued Fuzzy Portfolio decision Model with Transaction Cost and Liquidity Constraint.  -- Active Learning for Low-Resource Project-Specific Code Summarization.  -- A Survey of Game-Theoretic Methods for Controlling COVID-19.  -- ComPAT: a Compiler Principles course AssisTant.  -- Tram Air Conditioning Fault Prediction Using Machine learning.  -- Lexicon Graph Adapter based BERT Model For Chinese Named Entity Recognition.  -- Insider Threat Defense Strategies: Survey and Knowledge Integration.  -- GA-MEPS: Multiple Experts Portfolio Selection Based on Genetic Algorithm.  -- Deep Learning and Machine Learning-Based Approaches to Inferring Social Media Network Users’ Interests from a Missing Data Issus.  -- Customer Segmentation for Telecommunication using Machine Learning.  -- DP-MFRNN: Difficulty Prediction for Examination Questions Based on Neural Network Framework.  -- Causal Relationship Extraction Combined Boundary Detection and Information Interaction.  -- Profit Maximization in Edge-enabled Multimedia Data Market: A Game-based Pricing Approach.  -- Reinforcement learning for scientific application: A survey.  -- Zunna: A New Browser Extension for Protecting Personal Data.  -- HRTC:A Triple Joint Extraction Model Based on Cyber Threat Intelligence.  -- Personalized Image Aesthetics Assessment based onTheme and Personality.  -- A Spatio-temporal Neural Network for Medical Insurance Fraud Detection.  -- Exploring Language Diversity to Improve Neural Text Generation.  -- Diffusion Review-based Recommendation.  -- IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model.  -- A novel network intrusion detection method for unbalanced data in open scenarios.  -- Explainable Knowledge-Based Learning For Online Medical Question Answering.  -- Energy consumption prediction method for refrigeration systems based on adversarial networks and Transformer networks.  -- P-Vit: A simplified Vision Transformer model based on FFN and Simple Attention.  aThe five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16–18, 2024. The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS) Volume IV: Emerging Technology Volume V: Special Tracks. 0aArtificial intelligence.958441 0aComputer engineering. 0aComputer networks .960157 0aComputers.965793 0aInformation technologyxManagement.957223 0aSocial sciencesxData processing.965741 0aApplication software.14aArtificial Intelligence.95844124aComputer Engineering and Networks.24aComputing Milieux.96653024aComputer Application in Administrative Data Processing.96653124aComputer Application in Social and Behavioral Sciences.96574324aComputer and Information Systems Applications.1 aCao, Cungeng.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aChen, Huajun.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aZhao, Liang.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aArshad, Junaid.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aAsyhari, Taufiq.eeditor.0(orcid)0000-0002-3023-82851https://orcid.org/0000-0002-3023-82854edt4http://id.loc.gov/vocabulary/relators/edt1 aWang, Yonghao.eeditor.0(orcid)0000-0002-4924-25081https://orcid.org/0000-0002-4924-25084edt4http://id.loc.gov/vocabulary/relators/edt9801512 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981975488508iPrinted edition:z9789819754908 0aLecture Notes in Artificial Intelligence,x2945-9141 ;v1488840uhttps://doi.org/10.1007/978-981-97-5489-2  aZDB-2-SCS  aZDB-2-SXCS  aZDB-2-LNC  c66839d66839