001483921 000__ 07130cam\\22006617i\4500 001483921 001__ 1483921 001483921 003__ OCoLC 001483921 005__ 20240117003307.0 001483921 006__ m\\\\\o\\d\\\\\\\\ 001483921 007__ cr\cn\nnnunnun 001483921 008__ 231107s2023\\\\sz\a\\\\o\\\\\101\0\eng\d 001483921 020__ $$a9783031466649$$q(electronic bk.) 001483921 020__ $$a3031466640$$q(electronic bk.) 001483921 020__ $$z9783031466632 001483921 0247_ $$a10.1007/978-3-031-46664-9$$2doi 001483921 035__ $$aSP(OCoLC)1407624105 001483921 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCQ 001483921 049__ $$aISEA 001483921 050_4 $$aQA76.9.D343 001483921 08204 $$a006.312$$223/eng/20231107 001483921 1112_ $$aADMA (Conference)$$n(19th :$$d2023 :$$cShenyang Shi, China) 001483921 24510 $$aAdvanced data mining and applications :$$b19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings.$$nPart II /$$cXiaochun Yang, Heru Suhartanto, Guoren Wang, Bin Wang, Jing Jiang, Bing Li, Huaijie Zhu, Ningning Cui, editors. 001483921 2463_ $$aADMA 2023 001483921 264_1 $$aCham :$$bSpringer,$$c2023. 001483921 300__ $$a1 online resource (xxiii, 711 pages) :$$billustrations (some color). 001483921 336__ $$atext$$btxt$$2rdacontent 001483921 337__ $$acomputer$$bc$$2rdamedia 001483921 338__ $$aonline resource$$bcr$$2rdacarrier 001483921 4901_ $$aLecture Notes in Artificial Intelligence 001483921 4901_ $$aLecture notes in computer science ;$$v14177 001483921 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence 001483921 500__ $$aIncludes author index. 001483921 5050_ $$aKnowledge Graph -- Improving Distance Based Knowledge Graph Embedding via Contrastive Learning -- Knowledge Graph Completion with Information Adaptation and Refinement -- Duet Representation Learning with Entity Multi-Attribute Information in Knowledge Graphs -- TKGAT: Temporal Knowledge Graph Representation Learning Using Attention Network -- Separate-and-Aggregate: A Transformer-based Patch Refinement Model for Knowledge Graph Completion -- Two Birds With One Stone: An Link Prediction Model for Knowledge Hypergraph Based on Fully-Connected Tensor Decomposition -- HEM: an improved parametric link prediction algorithm based on hybrid network evolution mechanism -- Joint embedding of local structures and evolutionary patterns for temporal link prediction -- Multimedia -- DQN-based Stitching Algorithm for Unmanned Aerial Vehicle Images -- HM-QCNN: Hybrid Multi-branches Quantum-Classical Neural Network for image classification -- DetOH: An Anchor-free Object Detector with Only Heatmaps -- LAANet: An Efficient Automatic Modulation Recognition Model Based on LSTM-Autoencoder and Attention Mechanism -- A Compact Phoneme-To-Audio Aligner for Singing Voice -- Song-to-Video Translation: Writing a Video from Song Lyrics Based on Multimodal Pre-Training -- Medical Image Analysis -- Breast Cancer Histopathology Image Classification Using Frequency Attention Convolution Network -- Wavelet-SVDD: Anomaly Detection and Segmentation with Frequency Domain Attention -- Anatomical-Functional Fusion Network for Lesion Segmentation using Dual-view CEUS -- SpMVNet: Spatial Multi-view Network for Head and Neck Organs at Risk Segmentation -- SNN-BS: A Clinical Terminology Standardization Method using Siamese Networks with Batch Sampling Strategy -- Natural Language -- Read then Respond: Multi-granularity Grounding Prediction for Knowledge-Grounded Dialogue Generation -- SUMO-PEGASUS: A Two-Stage Model for Long Text Summarization -- An Extractive Automatic Summarization Method for Chinese Long Text -- A Likelihood Probability-based Online Summarization Ranking Model -- Spatial Commonsense Reasoning for Machine Reading Comprehension -- Multimodal learning for Automatic Summarization: A Survey -- Deep Knowledge Tracing with Concept Trees -- Privacy and Security -- Cryptography-Inspired Federated Learning for Generative Adversarial Networks and Meta Learning -- A Hessian-Based Federated Learning Approach to tackle Statistical Heterogeneity -- Analyzing the Convergence of Federated Learning with Biased Client Participation -- Privacy Lost in online Education: Analysis of Web Tracking Evolution -- DANAA: Towards transferable attacks with double adversarial neuron attribution -- CRNN-SA: A Network Intrusion Detection Method Based on Deep Learning -- Applications -- Conspiracy Spoofing Orders Detection with Transformer-based Deep Graph Learning -- A Novel Explainable Rumor Detection Model with Fusing Objective Information -- VLS: A Reinforcement Learning-based Value Lookahead Strategy for Multi-product Order Fulfillment -- Deep Reinforcement Learning for Stock Trading with Behavioral Finance Strategy -- Ensemble Learning based Employment Recommendation under Interaction Sparsity for College Students -- How does ChatGPT Affect Fake News Detection Systems? -- CNGT: Co-attention Networks with Graph Transformer for Fact Verification -- Multi-Modal -- Supervised Discriminative Discrete Hashing for Cross-modal Retrieval -- A Knowledge-enhanced Inferential Network for Cross-modality Multi-hop VQA -- Multi-Head Similarity Feature Representation and Filtration for Image-Text Matching -- Multimodal Conditional VAE for Zero-shot Real-world Event Discovery -- MAMRP: Multi-modal Data Aware Movie Rating Prediction -- MFMGC: A Multi-Modal Data Fusion Model for Movie Genre Classification -- TED-CS: Textual Enhanced Sensitive Video Detection with Common Sense Knowledge 001483921 506__ $$aAccess limited to authorized users. 001483921 520__ $$aThis book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21-23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining. 001483921 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 7, 2023). 001483921 650_6 $$aExploration de données (Informatique)$$vCongrès. 001483921 650_0 $$aData mining$$vCongresses.$$vCongresses$$0(DLC)sh2008102035 001483921 655_0 $$aElectronic books. 001483921 7001_ $$aYang, Xiaochun$$c(College teacher),$$eeditor. 001483921 7001_ $$aSuhartanto, Heru,$$eeditor. 001483921 7001_ $$aWang, Guoren,$$d1966-$$eeditor. 001483921 7001_ $$aWang, Bin,$$eeditor. 001483921 7001_ $$aJiang, Jing,$$eeditor.$$0(OCoLC)oca00642098 001483921 7001_ $$aLi, Bing,$$eeditor.$$0(DNLM)1645049 001483921 7001_ $$aZhu, Huaijie,$$eeditor. 001483921 7001_ $$aCui, Ningning,$$eeditor. 001483921 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 001483921 830_0 $$aLecture notes in computer science ;$$v14177. 001483921 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 001483921 852__ $$bebk 001483921 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-46664-9$$zOnline Access$$91397441.1 001483921 909CO $$ooai:library.usi.edu:1483921$$pGLOBAL_SET 001483921 980__ $$aBIB 001483921 980__ $$aEBOOK 001483921 982__ $$aEbook 001483921 983__ $$aOnline 001483921 994__ $$a92$$bISE