Edizione	[First edition.]
Pubbl/distr/stampa	Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica	1 online resource (848 pages)
Disciplina	943.005
Collana	Lecture Notes in Computer Science Series
Soggetto topico	Data mining
ISBN	3-031-46661-6
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Time Series -- An Adaptive Data-Driven Imputation Model for Incomplete Event Series -- From Time Series to Multi-Modality: Classifying Multivariate Time Series via Both 1D and 2D Representations -- Exploring the Effectiveness of Positional Embedding on Transformer-based Architectures for Multivariate Time Series Classification -- Modeling of Repeated Measures for Time-to-Event Prediction -- A Method for Identifying the Timeliness of Manufacturing Data Based on Weighted Timeliness Graph -- STAD: Multivariate Time Series Anomaly Detection Based on Spatio-temporal Relationship -- Recommendation I -- Refined Node Type Graph Convolutional Network for Recommendation -- Multi-level Noise Filtering and Preference Propagation Enhanced Knowledge Graph Recommendation -- Enhancing Knowledge-aware Recommendation with Contrastive Learning -- Knowledge-Rich Influence Propagation Recommendation Algorithm Based on Graph Attention Networks -- A Novel Variational Autoencoder with Multi-Position Latent Self-Attention and Actor-Critic for Recommendation -- Fair Re-ranking Recommendation Based on Debiased Multi-Graph Representations -- Information Extraction -- FastNER: Speeding Up Inferences for Named Entity Recognition Tasks -- CPMFA: A Character Pair-Based Method for Chinese Nested Named Entity Recognition -- STMC-GCN: A Span Tagging Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction -- Exploring the Design Space of Unsupervised Blocking with Pre-trained Language Models in Entity Resolution -- Joint Modeling of Local and Global Semantics for Contrastive Entity Disambiguation -- Fine-grained Review Analysis using BERT with Attention: A Categorical and Rating-based Approach -- Emotional Analysis -- Discovery of Emotion Implicit Causes in Products based on Commonsense Reasoning -- Multi-modal Multi-emotion Emotional Support Conversation -- Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations -- Generating Enlightened Suggestions based on Mental State Evolution for Emotional Support Conversation -- Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in Transfer Learning -- EmoKnow: Emotion- and Knowledge-oriented Model for COVID-19 Fake News Detection -- Popular Songs: The Sentiment Surrounding the Conversation -- Market Sentiment Analysis based on Social Media and Trading Volume for Asset Price Movement Prediction -- Data Mining -- Efficient mining of high utility co-location patterns based on a query strategy -- Point-level Label-free Segmentation Framework for 3D Point Cloud Semantic Mining -- CD-BNN: Causal Discovery with Bayesian Neural Network -- A Preference-based Indicator Selection Hyper-heuristic for Optimization Problems -- An Elastic Scalable Grouping for Stateful Operators in Stream Computing Systems -- Incremental natural gradient boosting for probabilistic regression -- Discovering Skyline Periodic Itemset Patterns in Transaction Sequences -- Double-optimized CS-BP Anomaly Prediction for Control Operation Data -- Bridging the Interpretability Gap in Coupled Neural Dynamical Models -- Multidimensional Adaptative kNN Over Tracking Outliers (Makoto) -- Traffic -- MANet: An End-to-End Multiple Attention Network for Extracting Roads around EHV Transmission Lines from High-Resolution Remote Sensing Images -- Deep Reinforcement Learning for Solving the Trip Planning Query -- MDCN: Multi-Scale Dilated Convolutional Enhanced Residual Network for Traffic Sign Detection -- Identifying Critical Congested Roads based on Traffic Flow-Aware Road Network Embedding -- A Cross-Region-based Framework for Supporting Car-Sharing -- Attention-based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting -- Transformer Based Driving Behavior Safety Prediction For New Energy Vehicles -- Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting -- A Bottom-Up Sampling Strategy for Reconstructing Geospatial Data from Ultra Sparse Inputs -- Recommendation II -- Feature Representation Enhancing by Context Sensitive Information in CTR Prediction -- ProtoMix: Learnable Data Augmentation on Few-shot Features with Vector Quantization in CTR Prediction -- When Alignment Makes a Difference: A Content-Based Variational Model for Cold-Start CTR Prediction -- Dual-Ganularity Contrastive Learning for Session-based Recommendation -- Efficient Graph Collaborative Filtering with Multi-layer Output-enhanced Contrastive Learning -- Influence Maximization with Tag Revisited: Exploiting the Bi-Submodularity of the Tag-Based Influence Function -- Multi-Interest Aware Graph Convolution Network for Social Recommendation -- Enhancing Multimedia Recommendation through Item-Item Semantic Denoising and Global Preference Awareness -- Resident-based Store Recommendation Model for Community Commercial Planning.c.
Record Nr.	UNISA-996565871103316

Edizione	[First edition.]
Pubbl/distr/stampa	Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica	1 online resource (670 pages)
Disciplina	006.3
Collana	Lecture Notes in Computer Science Series
Soggetto topico	Data mining
ISBN	3-031-46677-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Data Mining -- Heterogeneous line graph neural network for link prediction -- Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation -- An Early Stage Identification of Cryptomining Behavior with DNS Requests -- NFAQP: Normalizing Flow based Approximate Query Processing -- Efficient Blockchain Data Trusty Provenance Based on the W3C PROV Model -- Cardinality Estimation of Subgraph Search Queries with Direction Learner -- Approximate Continuous k Representative Skyline Queries over Memory Limitation-based Streaming Data -- AAP: Defending Against Website Fingerprinting through Burst Obfuscation -- ReviewLocator: Enhance User Review-based Bug Localization with Bug Reports -- Improving Adversarial Robustness Via Channel And Depth Compatibility -- Boosting Adversarial Attacks with Improved Sign Method -- BRQG : A BART-based Retouching Framework for Multi-hop Question Generation -- MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation -- TIGAN: Trajectory Imputation via Generative Adversarial Network -- Continuous Group Nearest Neighbor Query over Sliding Window -- Exploration of Stochastic Selection of Splitting Attributes as a Source of Inducing Diversity -- Machine Unlearning Methodology base on Stochastic Teacher Network -- CNMBI: Determining the Number of Clusters Using Center Pairwise Matching and Boundary Filtering -- TS-MVP:Time-Series Representation Learning by Multi-View Prototypical Contrastive Learning -- Feature Selection Method for High Dimensional Data Based on Improved BOA in AIoT -- DACI: An index structure supporting attributed community queries -- Persistent Community Search over Temporal Bipartite Graphs -- Applications (Including Industry Track Papers) -- D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators -- CTKM: Crypto-based user clustering on web Transaction data -- Calibrating Popularity Bias Based on Quality for Fairness Recommendation -- Searching User Community and Attribute Location Cluster in Location-Based Social Networks -- Efficient Size-Constrained (k, d)-Truss Community Search -- FSKD: Detecting Fake News with Few-Shot Knowledge Distillation -- STIP: A Seasonal Trend Integrated Predictor for Blood Glucose Level in Time Series -- Window-Controlled Sepsis Prediction Using a Model Selection Approach -- An Effective Pre-trained Visual Encoder for Medical Visual Question Answering -- BBAC: Blockchain-based access control scheme for EHRs with data sharing support -- Cross-genre Retrieval for Information Integrity: A COVID-19 Case Study -- PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection -- Skilled Task Assignment with Extra Budget in Spatial Crowdsourcing -- Synchronous Prediction of Asset Prices' Multivariate Time Series based on Multi-task Learning and Data Augmentation -- MGCP:A Multi-View Diffusing Graphs based Traffic Congestion Prediction for Roads around Factory -- M2MTR: Reposition Idle Taxis in The Many-to-Many Manner with Multi-Agent Reinforcement Learning -- Difficulty-Controlled Question Generation in Adaptive Education for Few-shot Learning -- A Multi-Truth Discovery Approach Based on Confidence Interval Estimation of Truths -- Development and Application of Flight Parameter Data Analysis Based on Multi-text Timescale Alignment -- LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-connection and Dropconnect -- An Effective Pre-trained Visual Encoder for Medical Visual Question Answering -- A Spatio-Temporal Attention-based GCN for Anti-Money Laundering Transaction Detection.
Record Nr.	UNISA-996565871803316

Edizione	[First edition.]
Pubbl/distr/stampa	Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica	1 online resource (386 pages)
Disciplina	006.3
Collana	Lecture Notes in Computer Science Series
Soggetto topico	Data mining
ISBN	3-031-46671-3
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Pharmaceutical Data Analysis -- Drug-target interaction prediction based on drug subgraph fingerprint extraction strategy and subgraph attention mechanism -- Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding -- Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction -- MTFL: Multi-task feature learning with joint correlation structure learning for Alzheimer’s disease cognitive performance prediction -- Multi-Level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data -- Individual Functional Network Abnormalities Mapping via Graph Representation-based Neural Architecture Search -- A novel application of a mutual information measure for analysing temporal changes in healthcare network graphs -- Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation -- Text Classification -- ParaNet:Parallel Networks with Pre-trained Models for Text Classification -- Open Text Classification Based on Dynamic Boundary Balance -- A Prompt Tuning Method for Chinese Medical Text Classification -- TabMentor: Detect Errors on Tabular Data with Noisy Labels -- Label-aware Hierarchical Contrastive Domain Adaptation for Cross-network Node Classification -- Semi-supervised classification based on Graph Convolution Encoder Representations from BERT -- Global Balanced Text Classification for Stable Disease Diagnosis -- Graph -- Dominance Maximization in Uncertain Graphs -- LAGCL: Towards Stable and Automated Graph Contrastive Learning -- Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model -- Common-Truss-based Community Search on Multilayer Graphs -- Learning To Predict Shortest Path Distance -- Efficient Regular Path Query Evaluation with Structural Path Constraints.EnSpeciVAT: Enhanced SpeciVAT for Cluster Tendency Identification in Graphs -- Pessimistic Adversarially Regularized Learning for Graph Embedding -- M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning.
Record Nr.	UNISA-996565871703316

Edizione	[First edition.]
Pubbl/distr/stampa	Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica	1 online resource (722 pages)
Disciplina	006.3
Collana	Lecture Notes in Computer Science Series
Soggetto topico	Data mining
ISBN	3-031-46664-0
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Knowledge 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.
Record Nr.	UNINA-9910760299603321

Edizione	[First edition.]
Pubbl/distr/stampa	Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica	1 online resource (722 pages)
Disciplina	006.3
Collana	Lecture Notes in Computer Science Series
Soggetto topico	Data mining
ISBN	3-031-46664-0
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Knowledge 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.
Record Nr.	UNISA-996565871903316