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Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part III / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma
| Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part III / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma |
| Autore | Sheng Quan Z |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (465 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
DobbieGill
JiangJing ZhangXuyun ZhangWei Emma ManolopoulosYannis WuJia MansoorWathiq MaCongbo |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Application software Computer systems Education - Data processing Computer vision Data Mining and Knowledge Discovery Artificial Intelligence Computer and Information Systems Applications Computer System Implementation Computers and Education Computer Vision |
| ISBN |
9789819608218
981960821X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organisation -- Contents - Part III -- Graph Mining -- Verifiable Graph-Based Approximate Nearest Neighbor Search -- 1 Introduction -- 2 Related Works -- 2.1 Graph-Based Approximate Nearest Neighbor Search -- 2.2 Verifiable Nearest Neighbor Search -- 3 Preliminaries -- 3.1 Hierarchical Clustering-Based Nearest Neighbor Graph -- 3.2 Guided Tree -- 3.3 Merkle Hash Tree (MHT) -- 3.4 The Threat Model -- 4 Our Scheme -- 4.1 Initialization Phase -- 4.2 Query Processing Phase -- 4.3 Verification Phase -- 5 Security Discussion -- 6 Experiments -- 6.1 Setup -- 6.2 Impact of k and Number of Queries on VO Size -- 6.3 Computational Overhead -- 7 Conclusion -- References -- Depth-Enhanced Contrast Attribute Graph Clustering -- 1 Introduction -- 2 Related Work -- 2.1 Deep Graph Clustering -- 2.2 Graph Data Augmentation -- 3 Method -- 3.1 Notations -- 3.2 Deep Enhancement Module -- 3.3 Contrast Learning Module -- 3.4 Self-optimizing Module -- 3.5 Overall Objective -- 4 Experiments -- 4.1 Baseline Dataset -- 4.2 Baseline -- 4.3 Experimental Setup -- 4.4 Evaluation Metrics -- 4.5 Performance Comparison -- 4.6 Ablation Experiment -- 4.7 Sensitivity Analysis -- 4.8 Visualization -- 4.9 Conclusion -- References -- FCMH: Fast Cluster Multi-hop Model for Graph Fraud Detection -- 1 Introduction -- 2 Related Work -- 2.1 Graph Neural Network -- 2.2 Graph Fraud Detection -- 3 Methodology -- 3.1 Problem Formulation -- 3.2 Random Cluster Subgraph Division -- 3.3 Multi-hop Neighbor Difference Aggregation -- 3.4 Downsampling and Optimization Objective -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Classification Performance -- 4.3 Time Efficiency -- 4.4 Ablation Study -- 5 Conclusion -- References -- Emotion Graph Augmentation for Detecting Fake News in Online Social Networks -- 1 Introduction -- 2 Related Work -- 2.1 Text Based Methods.
2.2 Graph Based Methods -- 2.3 Emotion Based Methods -- 3 Problem Statement -- 4 Methodology -- 4.1 Semantic Graph Construction -- 4.2 Emotion Graph Construction -- 4.3 Graph Augmentation with Adversarial Perturbations -- 4.4 Propagation of Semantics and Emotions -- 4.5 Fake News Detection -- 5 Experiments -- 5.1 Experimental Settings -- 5.2 Overall Performance -- 5.3 Ablation Study -- 5.4 Parameter Analysis -- 5.5 Case Study -- 6 Conclusion -- References -- BiF-AC: A Bidirectional Feedback Actor-Critic Framework for UAV-UGV Graph-Based Search and Rescue Operations -- 1 Introduction -- 2 UAV-UGV Coordination System Model -- 2.1 System Model -- 2.2 Problem Formulation -- 3 The Proposed Method -- 3.1 The Principles of Actor-Critic -- 3.2 The Bidirectional Feedback Actor-Critic Algorithm -- 4 Empirical Studies -- 4.1 Experimental Settings -- 4.2 Performance Evaluation -- 5 Conclusion -- References -- RWEM: An In-Memory Random Walk Based Node Embedding Framework on Multiplex User-Item Graphs -- 1 Introduction -- 2 Background and Related Work -- 2.1 Graph Theory -- 2.2 Stochastic Markov Process -- 2.3 Node Embedding -- 3 RWEM Framework -- 3.1 Embedding Input -- 3.2 Autocovariance-Based Similarity -- 4 Evaluation -- 4.1 Environment -- 4.2 Setup -- 4.3 Results -- 5 Conclusion -- References -- Feature-Aware Unsupervised Detection of Important Nodes in Graphs -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Problem Statement -- 3.2 Graph Convolutional Networks -- 4 Proposed Model -- 4.1 Feature-Aware Personalized PageRank -- 4.2 Model Architecture -- 4.3 Training Time Cost Analysis -- 5 Experiments -- 5.1 Node Classification -- 5.2 Active Learning -- 6 Conclusion and Future Work -- References -- HHP: A Hybrid Partitioner for Large-Scale Hypergraph -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Hybrid Hypergraph Partitioner. 4.1 Basic Algorithm -- 4.2 Improved Online Partition Algorithm -- 4.3 Hybrid Hypergraph Partitioner -- 5 Evaluation -- 5.1 Experimental Setup -- 5.2 Hypergraph Partitioning -- 5.3 Experimental on MinMax++ -- 5.4 Study on Hybrid Strategies -- 6 Conclusions -- References -- Graph Fusion Based Autoencoder for Node Clustering -- 1 Introduction -- 2 Related Work -- 2.1 Deep Clustering -- 2.2 Autoencoder -- 3 Method -- 3.1 Graph Fusion -- 3.2 Representation Learning -- 3.3 Node Clustering -- 4 Experiments -- 4.1 Experimental Setting -- 4.2 Result Analysis -- 4.3 Ablation Study -- 4.4 Parameter Sensitivity Analysis -- 5 Conclusion -- References -- Regional Food Culture Preference Mining Based on Restaurant POI -- 1 Introduction -- 2 Related Work -- 3 Dataset Construction -- 4 Methods -- 4.1 Statistical Analysis -- 4.2 Community Detection -- 5 Study of Chinese Cuisines -- 5.1 Data Distribution -- 5.2 Geographical Factors -- 5.3 Economical Factors -- 5.4 Population Factors -- 6 Clustering Analysis -- 6.1 Experimental Setup -- 6.2 Overall Performance -- 6.3 Ablation Study -- 6.4 Hyperparameter Analysis -- 6.5 Visualization Analysis -- 7 Conclusions -- References -- Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs -- 1 Introduction -- 2 Model and Problem Formulation -- 3 Constructing the Heterogeneous Hypergraph -- 4 Heterogeneous Hypergraph Learning -- 4.1 Hypergraph Input -- 4.2 Adaptive Heterogeneous Hypergraph Convolutional Network -- 5 Multi-task Learning -- 6 Empirical Evaluation -- 6.1 End-to-End Comparison -- 6.2 Ablation Testing -- 6.3 Hyperparameter Sensitivity -- 7 Conclusion -- References -- Graph Contrastive Learning for Dissolved Gas Analysis -- 1 Introduction -- 2 Preliminaries -- 2.1 Notation -- 2.2 Constructing KNN Graph -- 3 Methodology -- 3.1 Dual-Channel Graph Representation Learning. 3.2 Ranking Contrastive Learning -- 3.3 Fault Detection -- 4 Experiment -- 4.1 Experimental Setup(RQ1) -- 4.2 Performance Comparison -- 4.3 Ablation Study(RQ2) -- 4.4 Parameter Analysis(RQ3) -- 5 Conclusion -- References -- GCS: A Graph-Augmented Semi-supervised Contrastive Learning Approach for Imbalanced Dissolved Gas Analysis in Power Transformers -- 1 Introduction -- 2 Preliminaries -- 2.1 Notations -- 2.2 Imbalance Settings and Problem Definition -- 3 Methodology -- 3.1 Graph Construction -- 3.2 Semi-supervised Contrastive Learning -- 3.3 Graph Augmentation -- 3.4 Classification and Model Optimization -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Main Comparison Results (RQ1) -- 4.3 Ablation Study (RQ2) -- 4.4 Imbalance Comparison(RQ3) -- 5 Conclusion -- References -- Contrastive Learning Based on Bipartite Graphs for Interpretable Knowledge Tracing -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Problem Definition -- 3.2 Model Overview -- 3.3 Embedding and Knowledge Structure -- 3.4 Bipartite Graph Attention Network -- 3.5 Bipartite Graph Contrastive Learning -- 3.6 Prediction -- 3.7 Model Optimization -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Baselines and Experimental Settings -- 4.3 Implementation Details -- 4.4 Performance Analysis -- 4.5 Interpretability Discussion -- 4.6 Ablation Study -- 4.7 Conclusion -- References -- Graph Data Understanding and Interpretation Enabled by Large Language Models -- 1 Introduction -- 2 Method -- 2.1 Preliminary -- 2.2 Heterogeneous Data Representation Learning -- 2.3 Converter Alignment Tuning -- 2.4 Retrieval Augmented Thoughts -- 3 Experiments -- 3.1 Training Details -- 3.2 Baseline Method -- 3.3 Performance Comparison -- 3.4 Ablation Experiments -- 4 Conclusion -- References -- SDM-GAT: StylisticFP Detection Method Based on Graph Attention Network -- 1 Introduction. 2 Background and Related Work -- 2.1 Tracking Development -- 2.2 Detection Methods -- 3 Methodology -- 3.1 Preliminaries -- 3.2 Graph Building -- 3.3 Graph Attention Network -- 4 Experiment -- 4.1 Datasets -- 4.2 Baselines and Metric -- 4.3 Implementation Details -- 4.4 Baseline Model Comparison -- 4.5 Impact of Graph Pruning -- 5 Conclusion -- References -- Anomaly Aligned Subgraphs Detection on Multi-layer Attributed Networks -- 1 Introduction -- 2 Related Work -- 2.1 Anomaly Detection -- 2.2 Network Alignment -- 3 Methodology -- 3.1 Anomaly Detection -- 3.2 Network Alignment -- 3.3 Update Anomaly Subgraph Node Set -- 4 Experiment -- 4.1 Experiment Settings -- 4.2 Results -- 4.3 Case Study -- 5 Conclusion -- References -- Path-Aware Siamese Graph Neural Network for Link Prediction -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Problem Formulation -- 3.2 Model Buildup -- 3.3 Contrastive Learning -- 4 Experiments -- 4.1 Datasets and Task -- 4.2 Baselines -- 4.3 Metrics and Settings -- 4.4 Abalation Study -- 5 Conclusion -- References -- GEM-GNN: Group Enhanced Multi-relation Graph Neural Networks for Fraud Detection -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Problem Definition -- 3.2 Model Architecture -- 3.3 Neighbor Aggregation Module -- 3.4 Group-Based Aggregation Module -- 3.5 Optimization -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Performance Comparison -- 4.3 Sensitivity Analysis -- 4.4 Training Process Study -- 5 Application -- 6 Conclusion -- References -- Spatial Data Mining -- ESNet: Perceptive Spatial-Spectral Fusion with Multi-stage Reconstruction for Pansharpening -- 1 Introduction -- 2 The Proposed Model -- 2.1 ESNet -- 2.2 Enhanced Spatial Spectral Attention Module -- 2.3 Multi-scale Reconstruction Module -- 2.4 Loss Function -- 3 Experiment -- 3.1 Datasets and Settings -- 3.2 Accuracy Evaluation. 3.3 Results. |
| Record Nr. | UNISA-996635667803316 |
Sheng Quan Z
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part VI / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma
| Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part VI / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma |
| Autore | Sheng Quan Z |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (398 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
DobbieGill
JiangJing ZhangXuyun ZhangWei Emma ManolopoulosYannis WuJia MansoorWathiq MaCongbo |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Application software Computer systems Education - Data processing Computer vision Data Mining and Knowledge Discovery Artificial Intelligence Computer and Information Systems Applications Computer System Implementation Computers and Education Computer Vision |
| ISBN | 9789819608508 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996636772303316 |
|
Sheng Quan Z
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part V / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma
| Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part V / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma |
| Autore | Sheng Quan Z |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (394 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
DobbieGill
JiangJing ZhangXuyun ZhangWei Emma ManolopoulosYannis WuJia MansoorWathiq MaCongbo |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Application software Computer systems Education - Data processing Computer vision Data Mining and Knowledge Discovery Artificial Intelligence Computer and Information Systems Applications Computer System Implementation Computers and Education Computer Vision |
| ISBN |
9789819608478
9819608473 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996635672603316 |
|
Sheng Quan Z
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part II / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma
| Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part II / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma |
| Autore | Sheng Quan Z |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (447 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
DobbieGill
JiangJing ZhangXuyun ZhangWei Emma ManolopoulosYannis WuJia MansoorWathiq MaCongbo |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Application software Computer systems Education - Data processing Computer vision Data Mining and Knowledge Discovery Artificial Intelligence Computer and Information Systems Applications Computer System Implementation Computers and Education Computer Vision |
| ISBN |
9789819608140
9819608147 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996635669303316 |
|
Sheng Quan Z
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part IV / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma
| Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part IV / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma |
| Autore | Sheng Quan Z |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (437 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
DobbieGill
JiangJing ZhangXuyun ZhangWei Emma ManolopoulosYannis WuJia MansoorWathiq MaCongbo |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Application software Computer systems Education - Data processing Computer vision Data Mining and Knowledge Discovery Artificial Intelligence Computer and Information Systems Applications Computer System Implementation Computers and Education Computer Vision |
| ISBN |
9789819608409
9819608406 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996635667603316 |
|
Sheng Quan Z
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part I / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma
| Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part I / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma |
| Autore | Sheng Quan Z |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (450 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
DobbieGill
JiangJing ZhangXuyun ZhangWei Emma ManolopoulosYannis WuJia MansoorWathiq MaCongbo |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Application software Computer systems Education - Data processing Computer vision Data Mining and Knowledge Discovery Artificial Intelligence Computer and Information Systems Applications Computer System Implementation Computers and Education Computer Vision |
| ISBN |
9789819608119
9819608112 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996635665403316 |
|
Sheng Quan Z
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications and Techniques in Information Security : 8th International Conference, ATIS 2017, Auckland, New Zealand, July 6–7, 2017, Proceedings / / edited by Lynn Batten, Dong Seong Kim, Xuyun Zhang, Gang Li
| Applications and Techniques in Information Security : 8th International Conference, ATIS 2017, Auckland, New Zealand, July 6–7, 2017, Proceedings / / edited by Lynn Batten, Dong Seong Kim, Xuyun Zhang, Gang Li |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIV, 223 p. 68 illus.) |
| Disciplina | 005.8 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer security
Data encryption (Computer science) Algorithms Systems and Data Security Cryptology Algorithm Analysis and Problem Complexity |
| ISBN | 981-10-5421-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Speeches -- Crypto Algorithms and Applications -- Attacks -- Malware and Malicious Events Detection -- System and Network Security. |
| Record Nr. | UNINA-9910254820103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications [[electronic resource] ] : 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019 / / edited by Xuyun Zhang, Guanfeng Liu, Meikang Qiu, Wei Xiang, Tao Huang
| Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications [[electronic resource] ] : 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019 / / edited by Xuyun Zhang, Guanfeng Liu, Meikang Qiu, Wei Xiang, Tao Huang |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xxiv, 701 pages) |
| Disciplina | 004 |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Computer communication systems
Data encryption (Computer science) Computers E-commerce Computer Communication Networks Cryptology Computing Milieux e-Commerce/e-business Information Systems and Communication Service |
| ISBN | 3-030-48513-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | MCOPS-SPM: Multi-Constrained Optimized Path Selection Based Spatial Pattern Matching in Social Networks -- A Multi-objective Computation Offloading Method in Multi-cloudlet Environment -- A Survey of QoS Optimization and Energy Saving in Cloud, Edge and IoT -- A Multi-objective Computation Offloading Method for Hybrid Workflow Applications in Mobile Edge Computing -- An introduction and comparison of the application of cloud and fog in IoT -- Distributed cloud monitoring platform based on log insight -- A Self-Adaptive PSO-based Dynamic Scheduling Method on Hierarchical Cloud Computing -- Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies -- Near-Data Prediction Based Speculative Optimization in a Distribution Environment -- Rendering of Three-Dimensional Cloud based on Cloud Computing -- Distributed Stochastic Alternating Direction Method of Multipliers for Big Data Classification -- Personalized Recommendation Algorithm Considering Time Sensitivity -- Cloud-based master data platform for smart manufacturing process -- A semi-supervised classification for hyperspectral image by triple classifiers with data editing and deep learning -- A Survey of Image Super Resolution based on CNN -- Design and Development of an Intelligent Semantic Recommendation System for Websites -- A Lightweight Neural Network Combining Dilated Convolution and Depthwise Separable Convolution -- Cloud-based AGV control system -- A Parallel Drone Image Mosaic Method based on Apache Spark -- CycleSafe: Safe Route Planning for Urban Cyclists -- Prediction of Future Appearances via Convolutional Recurrent Neural Networks Based on Image Time Series in 28 Video Knowledge Discovery Based on Convolutional Time-varying Water Quality Analysis with Semantical Mining Technology -- Data-driven fast real-time flood forecasting model for processing concept drift -- A Survey on Dimension Reduction Algorithms in Big Data Visualization -- Quantum Searchable Encryption for Cloud Data Based on Delegating Quantum Computing -- Quantum solution for the 3-SAT problem based on IBM Q Cloud Grazing Management and Decision System Based on WebGIS -- Application Design of Provincial Meteorological Service -- System Based on National Unified Meteorological Data Environment -- Moving Vehicle Detection Based on Optical Flow Method and Shadow Removal Refactor Business Process models for Efficiency Improvement -- A new model of cotton yield estimation based on AWS -- Intelligent System Security Event Description Method -- Designing a Bit-Based Model to Accelerate Query -- Processing Over Encrypted Databases in Cloud -- Review of Research on Network Flow Watermarking Techniques -- A Multi-Objective Virtual Machine Scheduling Algorithm in Fault Tolerance aware Cloud Environments -- PSVM: Quantitative Analysis Method of Intelligent System Risk in Independent Host Environment -- Coordinated Placement of Meteorological Workflows and Data with Privacy Conflict Protection -- Method and Application of Homomorphic Subtraction of The Paillier Cryptosystem in Secure Multi-party -- Computational Geometry -- A Secure Data Access Control Scheme Without Bilinear Pairing in Edge Computing -- Simulations on the energy consumption of WRF on meteorological Cloud -- A Survey of Information Intelligent System Security Risk Assessment Models, Standards and Methods -- Smart Grid and Innovative Frontiers in Telecommunications -- Multiple Time Blocks Energy Harvesting Relay Optimizing with Time-switching Structure and Decoding Cost -- Spectrum Sharing in Cognitive Radio Enabled Smart Grid: A Survey -- Colorization of Characters Based on the Generative Adversarial Network -- Enhanced LSTM Model for Short-Term Load Forecasting in Smart Grids -- Time -swithching Energy Harvesting Relay Optimizing Considering Decoding cost -- A Resource Allocation Scheme for 5G C-RAN Based on Improved Adaptive Genetic Algorithm -- A Novel Adaptive Multiple-access Scheme for Wireless Chip Area Network in the Smart Grid System. |
| Record Nr. | UNISA-996465443803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications : 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019 / / edited by Xuyun Zhang, Guanfeng Liu, Meikang Qiu, Wei Xiang, Tao Huang
| Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications : 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019 / / edited by Xuyun Zhang, Guanfeng Liu, Meikang Qiu, Wei Xiang, Tao Huang |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xxiv, 701 pages) |
| Disciplina |
004
004.6 |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Computer communication systems
Data encryption (Computer science) Computers E-commerce Computer Communication Networks Cryptology Computing Milieux e-Commerce/e-business Information Systems and Communication Service |
| ISBN | 3-030-48513-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | MCOPS-SPM: Multi-Constrained Optimized Path Selection Based Spatial Pattern Matching in Social Networks -- A Multi-objective Computation Offloading Method in Multi-cloudlet Environment -- A Survey of QoS Optimization and Energy Saving in Cloud, Edge and IoT -- A Multi-objective Computation Offloading Method for Hybrid Workflow Applications in Mobile Edge Computing -- An introduction and comparison of the application of cloud and fog in IoT -- Distributed cloud monitoring platform based on log insight -- A Self-Adaptive PSO-based Dynamic Scheduling Method on Hierarchical Cloud Computing -- Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies -- Near-Data Prediction Based Speculative Optimization in a Distribution Environment -- Rendering of Three-Dimensional Cloud based on Cloud Computing -- Distributed Stochastic Alternating Direction Method of Multipliers for Big Data Classification -- Personalized Recommendation Algorithm Considering Time Sensitivity -- Cloud-based master data platform for smart manufacturing process -- A semi-supervised classification for hyperspectral image by triple classifiers with data editing and deep learning -- A Survey of Image Super Resolution based on CNN -- Design and Development of an Intelligent Semantic Recommendation System for Websites -- A Lightweight Neural Network Combining Dilated Convolution and Depthwise Separable Convolution -- Cloud-based AGV control system -- A Parallel Drone Image Mosaic Method based on Apache Spark -- CycleSafe: Safe Route Planning for Urban Cyclists -- Prediction of Future Appearances via Convolutional Recurrent Neural Networks Based on Image Time Series in 28 Video Knowledge Discovery Based on Convolutional Time-varying Water Quality Analysis with Semantical Mining Technology -- Data-driven fast real-time flood forecasting model for processing concept drift -- A Survey on Dimension Reduction Algorithms in Big Data Visualization -- Quantum Searchable Encryption for Cloud Data Based on Delegating Quantum Computing -- Quantum solution for the 3-SAT problem based on IBM Q Cloud Grazing Management and Decision System Based on WebGIS -- Application Design of Provincial Meteorological Service -- System Based on National Unified Meteorological Data Environment -- Moving Vehicle Detection Based on Optical Flow Method and Shadow Removal Refactor Business Process models for Efficiency Improvement -- A new model of cotton yield estimation based on AWS -- Intelligent System Security Event Description Method -- Designing a Bit-Based Model to Accelerate Query -- Processing Over Encrypted Databases in Cloud -- Review of Research on Network Flow Watermarking Techniques -- A Multi-Objective Virtual Machine Scheduling Algorithm in Fault Tolerance aware Cloud Environments -- PSVM: Quantitative Analysis Method of Intelligent System Risk in Independent Host Environment -- Coordinated Placement of Meteorological Workflows and Data with Privacy Conflict Protection -- Method and Application of Homomorphic Subtraction of The Paillier Cryptosystem in Secure Multi-party -- Computational Geometry -- A Secure Data Access Control Scheme Without Bilinear Pairing in Edge Computing -- Simulations on the energy consumption of WRF on meteorological Cloud -- A Survey of Information Intelligent System Security Risk Assessment Models, Standards and Methods -- Smart Grid and Innovative Frontiers in Telecommunications -- Multiple Time Blocks Energy Harvesting Relay Optimizing with Time-switching Structure and Decoding Cost -- Spectrum Sharing in Cognitive Radio Enabled Smart Grid: A Survey -- Colorization of Characters Based on the Generative Adversarial Network -- Enhanced LSTM Model for Short-Term Load Forecasting in Smart Grids -- Time -swithching Energy Harvesting Relay Optimizing Considering Decoding cost -- A Resource Allocation Scheme for 5G C-RAN Based on Improved Adaptive Genetic Algorithm -- A Novel Adaptive Multiple-access Scheme for Wireless Chip Area Network in the Smart Grid System. |
| Record Nr. | UNINA-9910410042803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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