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29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021) : Tuesday November 2 - Friday November 5, 2021, Beijing, China / / Xiaofeng Meng [and five others], editors
| 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021) : Tuesday November 2 - Friday November 5, 2021, Beijing, China / / Xiaofeng Meng [and five others], editors |
| Pubbl/distr/stampa | New York : , : The Association for Computing Machinery, , 2021 |
| Descrizione fisica | 1 online resource (680 pages) : illustrations (some color) |
| Disciplina | 910.285 |
| Collana | ACM international conference proceedings series |
| Soggetto topico |
Geographic information systems
Geospatial data |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910510428603321 |
| New York : , : The Association for Computing Machinery, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Data Mining and Applications [[electronic resource] ] : 5th International Conference, ADMA 2009, Chengdu, China, August 17-19, 2009, Proceedings / / edited by Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng, Xue Li
| Advanced Data Mining and Applications [[electronic resource] ] : 5th International Conference, ADMA 2009, Chengdu, China, August 17-19, 2009, Proceedings / / edited by Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng, Xue Li |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XXI, 807 p.) |
| Disciplina | 004n/a |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Information storage and retrieval Computers Application software Pattern recognition Artificial intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Information Systems and Communication Service Information Systems Applications (incl. Internet) Pattern Recognition Artificial Intelligence |
| Soggetto genere / forma |
Kongress.
Peking (2009) |
| ISBN |
1-280-38316-X
9786613561084 3-642-03348-2 |
| Classificazione |
DAT 600f
DAT 703f DAT 825f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynotes -- Regular Papers -- Short Papers. |
| Record Nr. | UNISA-996465765803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Data Mining and Applications : 5th International Conference, ADMA 2009, Chengdu, China, August 17-19, 2009, Proceedings / / edited by Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng, Xue Li
| Advanced Data Mining and Applications : 5th International Conference, ADMA 2009, Chengdu, China, August 17-19, 2009, Proceedings / / edited by Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng, Xue Li |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XXI, 807 p.) |
| Disciplina | 004n/a |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Information storage and retrieval Computers Application software Pattern recognition Artificial intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Information Systems and Communication Service Information Systems Applications (incl. Internet) Pattern Recognition Artificial Intelligence |
| Soggetto genere / forma |
Kongress.
Peking (2009) |
| ISBN |
1-280-38316-X
9786613561084 3-642-03348-2 |
| Classificazione |
DAT 600f
DAT 703f DAT 825f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynotes -- Regular Papers -- Short Papers. |
| Record Nr. | UNINA-9910483444003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Web-Age Information Management [[electronic resource] ] : Third International Conference, WAIM 2002, Beijing, China, August 11-13, 2002. Proceedings / / edited by Xiaofeng Meng, Jianwen Su, Yujun Wang
| Advances in Web-Age Information Management [[electronic resource] ] : Third International Conference, WAIM 2002, Beijing, China, August 11-13, 2002. Proceedings / / edited by Xiaofeng Meng, Jianwen Su, Yujun Wang |
| Edizione | [1st ed. 2002.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
| Descrizione fisica | 1 online resource (XVI, 452 p.) |
| Disciplina | 005.75/8 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Data structures (Computer science) Database management Information storage and retrieval Application software Artificial intelligence Popular Computer Science Data Structures and Information Theory Database Management Information Storage and Retrieval Information Systems Applications (incl. Internet) Artificial Intelligence |
| ISBN | 3-540-45703-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | XML (Session 1A) -- Efficient Supporting XML Query and Keyword Search in Relational Database Systems -- Performance Evaluation of a DOM-Based XML Database: Storage, Indexing, and Query Optimization -- Structural Map: A New Index for Efficient XML Path Expression Processing -- Spatio-Temporal Databases (Session 1B) -- An Advanced Discrete Model for Uncertain Spatial Data -- A Spatio-Temporal Representation Scheme for Content- and Semantic-Based Video Retrieval on Moving Objects’ Trajectories -- Efficient Access Technique Using Levelized Data in Web-Based GIS -- Using PR-Tree and HPIR to Manage Coherence of Semantic Cache for Location Dependent Data in Mobile Database -- Data Mining and Learning (Session 2A) -- Towards Efficient Re-mining of Frequent Patterns upon Threshold Changes -- Mining Predicate Association Rule by Gene Expression Programming -- Learning with Concept Hierarchies in Probabilistic Relational Data Mining -- An Empirical Study of Learning-Based Web Search -- Outlier Detection Integrating Semantic Knowledge -- XML and Web (Session 2B) -- Extracting Information from Semistructured Data -- Maintaining Consistency of Integrated XML Trees -- Extract Frequent Pattern from Simple Graph Data -- XML-Based Data Rendering Engine for Content Management System -- Text Distinguishers Used in an Interactive Meta Search Engine -- Workflows and E-services (Session 3A) -- Team Work Oriented Flexible Workflow Management System -- EROICA: A Rule-Based Approach to Organizational Policy Management in Workflow Systems -- The Admon-Time Workflow Client: Why Do We Need the Third Type of Workflow Client Designated for Administration and Monitoring Services? -- Progressive Content Delivery for Mobile E-services -- Bioinformatics, Views, and OLAP (Session 3B) -- GeneAround: A Browsing System for Gene Annotation Using XML Technologies -- What Difference Heuristics Make: Maintenance-Cost View-Selection Revisited -- Representing Conceptual Multidimensional Properties Using the Common Warehouse Metamodel (CWM) -- OLAP Query Processing Algorithm Based on Relational Storage -- Clustering and High Dimentional Data (Session 4A) -- Querying and Clustering Very Large Data Sets Using Dynamic Bucketing Approach -- CBCM: A Cell-Based Clustering Method for Data Mining Applications -- C2VA: Trim High Dimensional Indexes -- Web Search (Session 4B) -- Topic Exploration and Distillation for Web Search by a Similarity-Based Analysis -- Efficient and Simple Encodings for the Web Graph -- Object-Extraction-Based Hidden Web Information Retrieval -- An Improved Usage-Based Ranking -- Optimization and Updates (Session 5A) -- On Linear-Spline Based Histograms -- A General and Efficient Approach for Solving Nearest Neighbor Problem in the Vague Query System -- A Client-Based Web-Cache Management System -- Immediate and Partial Validation Mechanism for the Conflict Resolution of Update Operations in XML Databases -- Transactions and Multimedia (Session 5B) -- Relaxed Atomic Commit for Real-Time Transactions in Mobile Computing Environment -- Real-Time Facial Patterns Mining and Emotion Tracking -- Data Reduction and Noise Filtering for Predicting Times Series -- Exploiting the Intrinsic Irreversibility of Adaptive Technologies to Enhance the Security of Digital Watermarking -- Demos -- Web-Linkage Viewer: Finding Graph Structures in the Web -- GDWFMS: A Workflow System for Submitting Graphs and Documents. |
| Record Nr. | UNISA-996466339803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Web-Age Information Management : Third International Conference, WAIM 2002, Beijing, China, August 11-13, 2002. Proceedings / / edited by Xiaofeng Meng, Jianwen Su, Yujun Wang
| Advances in Web-Age Information Management : Third International Conference, WAIM 2002, Beijing, China, August 11-13, 2002. Proceedings / / edited by Xiaofeng Meng, Jianwen Su, Yujun Wang |
| Edizione | [1st ed. 2002.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
| Descrizione fisica | 1 online resource (XVI, 452 p.) |
| Disciplina | 005.75/8 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Data structures (Computer science) Database management Information storage and retrieval Application software Artificial intelligence Popular Computer Science Data Structures and Information Theory Database Management Information Storage and Retrieval Information Systems Applications (incl. Internet) Artificial Intelligence |
| ISBN | 3-540-45703-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | XML (Session 1A) -- Efficient Supporting XML Query and Keyword Search in Relational Database Systems -- Performance Evaluation of a DOM-Based XML Database: Storage, Indexing, and Query Optimization -- Structural Map: A New Index for Efficient XML Path Expression Processing -- Spatio-Temporal Databases (Session 1B) -- An Advanced Discrete Model for Uncertain Spatial Data -- A Spatio-Temporal Representation Scheme for Content- and Semantic-Based Video Retrieval on Moving Objects’ Trajectories -- Efficient Access Technique Using Levelized Data in Web-Based GIS -- Using PR-Tree and HPIR to Manage Coherence of Semantic Cache for Location Dependent Data in Mobile Database -- Data Mining and Learning (Session 2A) -- Towards Efficient Re-mining of Frequent Patterns upon Threshold Changes -- Mining Predicate Association Rule by Gene Expression Programming -- Learning with Concept Hierarchies in Probabilistic Relational Data Mining -- An Empirical Study of Learning-Based Web Search -- Outlier Detection Integrating Semantic Knowledge -- XML and Web (Session 2B) -- Extracting Information from Semistructured Data -- Maintaining Consistency of Integrated XML Trees -- Extract Frequent Pattern from Simple Graph Data -- XML-Based Data Rendering Engine for Content Management System -- Text Distinguishers Used in an Interactive Meta Search Engine -- Workflows and E-services (Session 3A) -- Team Work Oriented Flexible Workflow Management System -- EROICA: A Rule-Based Approach to Organizational Policy Management in Workflow Systems -- The Admon-Time Workflow Client: Why Do We Need the Third Type of Workflow Client Designated for Administration and Monitoring Services? -- Progressive Content Delivery for Mobile E-services -- Bioinformatics, Views, and OLAP (Session 3B) -- GeneAround: A Browsing System for Gene Annotation Using XML Technologies -- What Difference Heuristics Make: Maintenance-Cost View-Selection Revisited -- Representing Conceptual Multidimensional Properties Using the Common Warehouse Metamodel (CWM) -- OLAP Query Processing Algorithm Based on Relational Storage -- Clustering and High Dimentional Data (Session 4A) -- Querying and Clustering Very Large Data Sets Using Dynamic Bucketing Approach -- CBCM: A Cell-Based Clustering Method for Data Mining Applications -- C2VA: Trim High Dimensional Indexes -- Web Search (Session 4B) -- Topic Exploration and Distillation for Web Search by a Similarity-Based Analysis -- Efficient and Simple Encodings for the Web Graph -- Object-Extraction-Based Hidden Web Information Retrieval -- An Improved Usage-Based Ranking -- Optimization and Updates (Session 5A) -- On Linear-Spline Based Histograms -- A General and Efficient Approach for Solving Nearest Neighbor Problem in the Vague Query System -- A Client-Based Web-Cache Management System -- Immediate and Partial Validation Mechanism for the Conflict Resolution of Update Operations in XML Databases -- Transactions and Multimedia (Session 5B) -- Relaxed Atomic Commit for Real-Time Transactions in Mobile Computing Environment -- Real-Time Facial Patterns Mining and Emotion Tracking -- Data Reduction and Noise Filtering for Predicting Times Series -- Exploiting the Intrinsic Irreversibility of Adaptive Technologies to Enhance the Security of Digital Watermarking -- Demos -- Web-Linkage Viewer: Finding Graph Structures in the Web -- GDWFMS: A Workflow System for Submitting Graphs and Documents. |
| Record Nr. | UNINA-9910768181403321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data and social computing : 7th China National Conference, BDSC 2022, Hangzhou, China, August 11-13, 2022, revised selected papers / / edited by Xiaofeng Meng, [and four others]
| Big data and social computing : 7th China National Conference, BDSC 2022, Hangzhou, China, August 11-13, 2022, revised selected papers / / edited by Xiaofeng Meng, [and four others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (398 pages) |
| Disciplina | 170 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Big data |
| ISBN | 981-19-7532-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Urban Computing and Social Governance -- Resilience-Based Epidemic Strategy Evaluation Method Under Post-Covid-19 -- 1 Introduction -- 2 Theoretical Basis -- 2.1 Urban Subsystems Applied to Resilience -- 2.2 Resilience Concept Applied to Urban System -- 2.3 Strategy Evaluation Method Applied to Urban Resilience -- 3 Strategy Evaluation Framework -- 4 Case Analysis and Discussion -- 4.1 Identifying Evaluable Strategies -- 4.2 Identifying Evaluable Strategies -- 4.3 Resilience Capacity Index System of Urban Social System Under Epidemic -- 4.4 Accumulation -- 4.5 Discussion -- 5 Conclusion -- References -- The Effects of Intervention Strategies for COVID-19 Transmission Control on Campus Activity -- 1 Introduction -- 2 Methodology -- 2.1 Model of Infection Risk -- 2.2 Case Design -- 3 Results -- 3.1 The Transmission of COVID-19 Caused by the Alumni Group for the Baseline Case -- 3.2 The Effect of Ventilation, Social Distancing and Wearing Mask on COVID-19 Transmission -- 3.3 The Impact of Combined Intervention Measures on the COVID-19 Transmission -- 4 Discussion -- 4.1 The Transmission Risk Brought by Staff During the Anniversary -- 4.2 The Comparison of Cases with Different Initial Infector Proportions -- 4.3 The Limitations of This Study -- 5 Conclusions -- References -- Social Resilience Assessment for Urban System: A Case Study of COVID-19 Epidemic -- 1 Introduction -- 2 Gap Analysis-Based Assessment Method -- 3 Case Analysis of COVID-19 Epidemic -- 3.1 Materials and Methods -- 3.2 Data Analysis Results -- 3.3 Resilience Analysis -- 4 Discussion -- 5 Conclusion -- References -- Prediction of Female Fertility Structure and Population Change in China by Modified SIR Model -- 1 Introduction -- 2 SIR Fertility Structure and Population Prediction Model -- 2.1 Model Front -- 2.2 Basic Prediction Model.
2.3 Parameters of the Model -- 3 Data Source and Parameter Setting -- 3.1 Data Sources -- 3.2 Parameter Setting -- 4 Analysis of Empirical Results -- 4.1 SIR Population Model Prediction Analysis -- 4.2 Model Prediction Error Validation Analysis -- 4.3 Model Prediction of Future Population Scenarios -- 5 Conclusion -- References -- Generative Adversarial Network for Imputation of Road Network Traffic State Data -- 1 Introduction -- 2 Methodology -- 2.1 Data Preprocessing -- 2.2 The Feature Abstraction of Road Network Based on GAE -- 2.3 The Design of Generative Adversarial Network for Spatio-Temporal Feature Based on LSTM -- 2.4 The Imputation of Road Network Data Based on GAE-GAN -- 3 Experiment -- 3.1 Experimental Design -- 3.2 Parameter Setting and Model Index -- 4 Results and Discussion -- 4.1 Effectiveness of GAE -- 4.2 Effectiveness of Internal Structure of Generator (LSTM) -- 4.3 Comparison with Other Models -- 5 Conclusions -- References -- Artificial Intelligence and Cognitive Science -- Improving Events Classification with Latent Space Clustering-Based Similarities -- 1 Introduction -- 2 Related Work -- 2.1 Keyword Extraction -- 2.2 Text Clustering -- 3 Method -- 3.1 Data Preprocessing -- 3.2 Initialize Clustering of the Training Data -- 3.3 Calculate the Classification Similarities of Event Categories -- 3.4 Process New Monitoring Event -- 3.5 Update Event Knowledge Database -- 3.6 Process Accumulated Noise Data -- 3.7 Optimal Learning of the Model -- 4 Experimental Results and Discussion -- 4.1 Experimental Datasets -- 4.2 Baseline Models and Parameter Settings -- 4.3 Overall Performance -- 5 Conclusion -- References -- SubGraph Networks Based Entity Alignment for Cross-Lingual Knowledge Graph -- 1 Introduction -- 2 Related Work -- 2.1 GCN -- 2.2 SGN -- 2.3 Knowledge Graph Alignment Based on Embedding -- 3 Methodology. 3.1 Problem Definition -- 3.2 Enhanced Structure Embedding Based on Subgraph Feature -- 3.3 GCN-Based Entity Embedding -- 3.4 Model Training -- 3.5 Knowledge Graph Entity Alignment Prediction -- 4 Experiments -- 4.1 Experimental Setting -- 4.2 DataSet -- 4.3 Result -- 5 Conclusion -- References -- A Secured Deep Reinforcement Learning Model Based on Vertical Federated Learning -- 1 Introduction -- 2 Related Works -- 2.1 Deep Reinforcement Learning -- 2.2 Defense for Deep Reinforcement Learning -- 3 VF-DRL -- 3.1 Overview -- 3.2 Global Model -- 3.3 Building VF-DRL Model Framework -- 3.4 Model Training and Implementation -- 4 Experiment and Analysis -- 4.1 Experiment Setup -- 4.2 Environment of Experiment -- 4.3 Training Model -- 4.4 Robustness Verification of VF-DRL Models -- 5 Conclusion -- References -- An Improved K-means Algorithm Based on the Bayesian Inference -- 1 Introduction -- 2 Bayes-K-means Clustering Algorithm -- 2.1 Improvement of K-means Algorithm -- 2.2 Algorithm Steps -- 2.3 Algorithm Convergence -- 3 Experimental Results and Analysis -- 3.1 Data Acquisition and Processing -- 3.2 Apply Bayes-K-means Algorithm to Cluster Dataset -- 3.3 Experimental Results and Analysis on the Self-made Dataset -- 3.4 Experimental Results and Analysis on the UCI Datasets -- 4 Conclusion -- References -- Social Network and Group Behavior -- Inductive Matrix Completion Based on Graph Attention -- 1 Introduction -- 2 Related Works -- 3 Inductive Graph-Attention Based Matrix Completion -- 3.1 One-Hop Enclosing Subgraph Extraction and Node Labeling -- 3.2 Graph Neural Network Architecture -- 3.3 Model Training -- 4 Experiment and Result -- 5 Conclusion -- References -- Identifying Spammers by Completing the Ratings of Low-Degree Users -- 1 Introduction -- 2 Preliminaries -- 2.1 Network -- 2.2 Rating Network -- 3 Methodology. 3.1 Iterative Optimization Ranking (IOR) -- 3.2 Completing the Ratings of Low-degree Users on IOR (IOR_LU) -- 4 Data and Metric -- 4.1 Rating Data Set -- 4.2 Generating Artificial Spammers -- 4.3 Evaluation Metric -- 5 Experimental Results -- 5.1 Effectiveness -- 5.2 Robustness -- 6 Conclusion and Discussion -- References -- Predicting Upvotes and Downvotes in Location-Based Social Networks Using Machine Learning -- 1 Introduction -- 2 Data Collection and Conventional Feature Analysis -- 2.1 Dataset -- 2.2 Analysis of Conventional Features -- 3 System Design and Implementation -- 3.1 Overview -- 3.2 Entropy -- 3.3 Effective Size -- 3.4 Model Construction -- 4 Evaluation of Prediction Performance -- 4.1 Performance Evaluation -- 4.2 Feature Importance Analysis -- 5 Related Work -- 6 Conclusion -- References -- How Does Participation Experience in Collective Behavior Contribute to Participation Willingness: A Survey of Migrant Workers in China -- 1 Introduction -- 2 Literature Review and Research Hypotheses -- 2.1 Planned Behavior and Resource Mobilization -- 2.2 Research Hypotheses -- 3 Methodology -- 3.1 Data -- 3.2 Variables -- 4 Results -- 4.1 Common Method Deviation Biases -- 4.2 Descriptive Statistical Analysis -- 4.3 Hypothesis Testing -- 4.4 Robustness Test -- 5 Conclusion -- References -- Research on Network Invulnerability and Its Application on AS-Level Internet Topology -- 1 Introduction -- 2 Theory -- 2.1 Node Importance Indicators -- 2.2 Neighbor Influence-based Node Ranking -- 2.3 Multi-attribute Fusion-Based Node Ranking -- 3 Evaluation Metrics -- 4 Experiment -- 4.1 Datasets -- 4.2 Structure-Based Evaluation Experiments -- 4.3 Multi-attribute-Based Evaluation Experiments -- 5 Conclusion -- References -- Digital Society and Public Security -- FedDFA: Dual-Factor Aggregation for Federated Driver Distraction Detection -- 1 Introduction. 2 Related Work -- 2.1 Vision-Based Driver Distraction Detection -- 2.2 Federated Learning -- 3 Pre-experiments -- 4 Method -- 4.1 Problem Definition -- 4.2 Overview -- 4.3 Federated Dual-Factor Aggregation -- 5 Experiments -- 5.1 Datasets -- 5.2 Comparison Method -- 5.3 Implementation Details -- 5.4 Experimental Analysis -- 6 Discussion and Conclusion -- References -- Defense of Signal Modulation Classification Attack Based on GAN -- 1 Introduction -- 2 Related Work -- 3 Our Work -- 3.1 Model -- 3.2 Training -- 3.3 Reconstruction -- 4 Experiment -- 4.1 Data Selection -- 4.2 Experiment Setup -- 4.3 Result -- 5 Conclusion -- References -- Dual-Channel Early Warning Framework for Ethereum Ponzi Schemes -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Micro Transaction Graph -- 3.3 Temporal Evolution Augmentation of Transaction Graph -- 3.4 Dual-Channel Early Warning Model -- 4 Experiments -- 4.1 Data Setting -- 4.2 Baselines -- 4.3 Experiment Setting -- 4.4 Evaluation on Ponzi Detection (RQ1) -- 4.5 Single Channel Analysis (RQ2) -- 4.6 Threshold of Reporting Ponzi Schemes (RQ3) -- 4.7 Ablation Study -- 5 Conclusion -- References -- Rumor Detection Based on the Temporal Sentiment -- 1 Introduction -- 2 Related Work -- 2.1 Single-Modal Rumor Detection -- 2.2 Multi-modal Rumor Detection -- 2.3 Rumor Detection Based on Sentiment Analyze -- 3 Method -- 3.1 Problem Statement -- 3.2 Microblog Representation -- 3.3 Comprehensive Representation -- 3.4 Rumor Classifier -- 4 Experiments -- 4.1 Datasets -- 4.2 Baseline Models -- 4.3 Experimental Settings -- 4.4 Evaluation Metrics -- 4.5 Experimental Results -- 4.6 Discussions -- 5 Conclusion -- References -- Research on Users' Trust in Customer Service Chatbots Based on Human-Computer Interaction -- 1 Introduction -- 2 Literature Review. 3 Interview Analysis Based on Value Focus Thinking. |
| Record Nr. | UNISA-996503566403316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big data and social computing : 7th China National Conference, BDSC 2022, Hangzhou, China, August 11-13, 2022, revised selected papers / / edited by Xiaofeng Meng, [and four others]
| Big data and social computing : 7th China National Conference, BDSC 2022, Hangzhou, China, August 11-13, 2022, revised selected papers / / edited by Xiaofeng Meng, [and four others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (398 pages) |
| Disciplina | 170 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Big data |
| ISBN | 981-19-7532-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Urban Computing and Social Governance -- Resilience-Based Epidemic Strategy Evaluation Method Under Post-Covid-19 -- 1 Introduction -- 2 Theoretical Basis -- 2.1 Urban Subsystems Applied to Resilience -- 2.2 Resilience Concept Applied to Urban System -- 2.3 Strategy Evaluation Method Applied to Urban Resilience -- 3 Strategy Evaluation Framework -- 4 Case Analysis and Discussion -- 4.1 Identifying Evaluable Strategies -- 4.2 Identifying Evaluable Strategies -- 4.3 Resilience Capacity Index System of Urban Social System Under Epidemic -- 4.4 Accumulation -- 4.5 Discussion -- 5 Conclusion -- References -- The Effects of Intervention Strategies for COVID-19 Transmission Control on Campus Activity -- 1 Introduction -- 2 Methodology -- 2.1 Model of Infection Risk -- 2.2 Case Design -- 3 Results -- 3.1 The Transmission of COVID-19 Caused by the Alumni Group for the Baseline Case -- 3.2 The Effect of Ventilation, Social Distancing and Wearing Mask on COVID-19 Transmission -- 3.3 The Impact of Combined Intervention Measures on the COVID-19 Transmission -- 4 Discussion -- 4.1 The Transmission Risk Brought by Staff During the Anniversary -- 4.2 The Comparison of Cases with Different Initial Infector Proportions -- 4.3 The Limitations of This Study -- 5 Conclusions -- References -- Social Resilience Assessment for Urban System: A Case Study of COVID-19 Epidemic -- 1 Introduction -- 2 Gap Analysis-Based Assessment Method -- 3 Case Analysis of COVID-19 Epidemic -- 3.1 Materials and Methods -- 3.2 Data Analysis Results -- 3.3 Resilience Analysis -- 4 Discussion -- 5 Conclusion -- References -- Prediction of Female Fertility Structure and Population Change in China by Modified SIR Model -- 1 Introduction -- 2 SIR Fertility Structure and Population Prediction Model -- 2.1 Model Front -- 2.2 Basic Prediction Model.
2.3 Parameters of the Model -- 3 Data Source and Parameter Setting -- 3.1 Data Sources -- 3.2 Parameter Setting -- 4 Analysis of Empirical Results -- 4.1 SIR Population Model Prediction Analysis -- 4.2 Model Prediction Error Validation Analysis -- 4.3 Model Prediction of Future Population Scenarios -- 5 Conclusion -- References -- Generative Adversarial Network for Imputation of Road Network Traffic State Data -- 1 Introduction -- 2 Methodology -- 2.1 Data Preprocessing -- 2.2 The Feature Abstraction of Road Network Based on GAE -- 2.3 The Design of Generative Adversarial Network for Spatio-Temporal Feature Based on LSTM -- 2.4 The Imputation of Road Network Data Based on GAE-GAN -- 3 Experiment -- 3.1 Experimental Design -- 3.2 Parameter Setting and Model Index -- 4 Results and Discussion -- 4.1 Effectiveness of GAE -- 4.2 Effectiveness of Internal Structure of Generator (LSTM) -- 4.3 Comparison with Other Models -- 5 Conclusions -- References -- Artificial Intelligence and Cognitive Science -- Improving Events Classification with Latent Space Clustering-Based Similarities -- 1 Introduction -- 2 Related Work -- 2.1 Keyword Extraction -- 2.2 Text Clustering -- 3 Method -- 3.1 Data Preprocessing -- 3.2 Initialize Clustering of the Training Data -- 3.3 Calculate the Classification Similarities of Event Categories -- 3.4 Process New Monitoring Event -- 3.5 Update Event Knowledge Database -- 3.6 Process Accumulated Noise Data -- 3.7 Optimal Learning of the Model -- 4 Experimental Results and Discussion -- 4.1 Experimental Datasets -- 4.2 Baseline Models and Parameter Settings -- 4.3 Overall Performance -- 5 Conclusion -- References -- SubGraph Networks Based Entity Alignment for Cross-Lingual Knowledge Graph -- 1 Introduction -- 2 Related Work -- 2.1 GCN -- 2.2 SGN -- 2.3 Knowledge Graph Alignment Based on Embedding -- 3 Methodology. 3.1 Problem Definition -- 3.2 Enhanced Structure Embedding Based on Subgraph Feature -- 3.3 GCN-Based Entity Embedding -- 3.4 Model Training -- 3.5 Knowledge Graph Entity Alignment Prediction -- 4 Experiments -- 4.1 Experimental Setting -- 4.2 DataSet -- 4.3 Result -- 5 Conclusion -- References -- A Secured Deep Reinforcement Learning Model Based on Vertical Federated Learning -- 1 Introduction -- 2 Related Works -- 2.1 Deep Reinforcement Learning -- 2.2 Defense for Deep Reinforcement Learning -- 3 VF-DRL -- 3.1 Overview -- 3.2 Global Model -- 3.3 Building VF-DRL Model Framework -- 3.4 Model Training and Implementation -- 4 Experiment and Analysis -- 4.1 Experiment Setup -- 4.2 Environment of Experiment -- 4.3 Training Model -- 4.4 Robustness Verification of VF-DRL Models -- 5 Conclusion -- References -- An Improved K-means Algorithm Based on the Bayesian Inference -- 1 Introduction -- 2 Bayes-K-means Clustering Algorithm -- 2.1 Improvement of K-means Algorithm -- 2.2 Algorithm Steps -- 2.3 Algorithm Convergence -- 3 Experimental Results and Analysis -- 3.1 Data Acquisition and Processing -- 3.2 Apply Bayes-K-means Algorithm to Cluster Dataset -- 3.3 Experimental Results and Analysis on the Self-made Dataset -- 3.4 Experimental Results and Analysis on the UCI Datasets -- 4 Conclusion -- References -- Social Network and Group Behavior -- Inductive Matrix Completion Based on Graph Attention -- 1 Introduction -- 2 Related Works -- 3 Inductive Graph-Attention Based Matrix Completion -- 3.1 One-Hop Enclosing Subgraph Extraction and Node Labeling -- 3.2 Graph Neural Network Architecture -- 3.3 Model Training -- 4 Experiment and Result -- 5 Conclusion -- References -- Identifying Spammers by Completing the Ratings of Low-Degree Users -- 1 Introduction -- 2 Preliminaries -- 2.1 Network -- 2.2 Rating Network -- 3 Methodology. 3.1 Iterative Optimization Ranking (IOR) -- 3.2 Completing the Ratings of Low-degree Users on IOR (IOR_LU) -- 4 Data and Metric -- 4.1 Rating Data Set -- 4.2 Generating Artificial Spammers -- 4.3 Evaluation Metric -- 5 Experimental Results -- 5.1 Effectiveness -- 5.2 Robustness -- 6 Conclusion and Discussion -- References -- Predicting Upvotes and Downvotes in Location-Based Social Networks Using Machine Learning -- 1 Introduction -- 2 Data Collection and Conventional Feature Analysis -- 2.1 Dataset -- 2.2 Analysis of Conventional Features -- 3 System Design and Implementation -- 3.1 Overview -- 3.2 Entropy -- 3.3 Effective Size -- 3.4 Model Construction -- 4 Evaluation of Prediction Performance -- 4.1 Performance Evaluation -- 4.2 Feature Importance Analysis -- 5 Related Work -- 6 Conclusion -- References -- How Does Participation Experience in Collective Behavior Contribute to Participation Willingness: A Survey of Migrant Workers in China -- 1 Introduction -- 2 Literature Review and Research Hypotheses -- 2.1 Planned Behavior and Resource Mobilization -- 2.2 Research Hypotheses -- 3 Methodology -- 3.1 Data -- 3.2 Variables -- 4 Results -- 4.1 Common Method Deviation Biases -- 4.2 Descriptive Statistical Analysis -- 4.3 Hypothesis Testing -- 4.4 Robustness Test -- 5 Conclusion -- References -- Research on Network Invulnerability and Its Application on AS-Level Internet Topology -- 1 Introduction -- 2 Theory -- 2.1 Node Importance Indicators -- 2.2 Neighbor Influence-based Node Ranking -- 2.3 Multi-attribute Fusion-Based Node Ranking -- 3 Evaluation Metrics -- 4 Experiment -- 4.1 Datasets -- 4.2 Structure-Based Evaluation Experiments -- 4.3 Multi-attribute-Based Evaluation Experiments -- 5 Conclusion -- References -- Digital Society and Public Security -- FedDFA: Dual-Factor Aggregation for Federated Driver Distraction Detection -- 1 Introduction. 2 Related Work -- 2.1 Vision-Based Driver Distraction Detection -- 2.2 Federated Learning -- 3 Pre-experiments -- 4 Method -- 4.1 Problem Definition -- 4.2 Overview -- 4.3 Federated Dual-Factor Aggregation -- 5 Experiments -- 5.1 Datasets -- 5.2 Comparison Method -- 5.3 Implementation Details -- 5.4 Experimental Analysis -- 6 Discussion and Conclusion -- References -- Defense of Signal Modulation Classification Attack Based on GAN -- 1 Introduction -- 2 Related Work -- 3 Our Work -- 3.1 Model -- 3.2 Training -- 3.3 Reconstruction -- 4 Experiment -- 4.1 Data Selection -- 4.2 Experiment Setup -- 4.3 Result -- 5 Conclusion -- References -- Dual-Channel Early Warning Framework for Ethereum Ponzi Schemes -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Micro Transaction Graph -- 3.3 Temporal Evolution Augmentation of Transaction Graph -- 3.4 Dual-Channel Early Warning Model -- 4 Experiments -- 4.1 Data Setting -- 4.2 Baselines -- 4.3 Experiment Setting -- 4.4 Evaluation on Ponzi Detection (RQ1) -- 4.5 Single Channel Analysis (RQ2) -- 4.6 Threshold of Reporting Ponzi Schemes (RQ3) -- 4.7 Ablation Study -- 5 Conclusion -- References -- Rumor Detection Based on the Temporal Sentiment -- 1 Introduction -- 2 Related Work -- 2.1 Single-Modal Rumor Detection -- 2.2 Multi-modal Rumor Detection -- 2.3 Rumor Detection Based on Sentiment Analyze -- 3 Method -- 3.1 Problem Statement -- 3.2 Microblog Representation -- 3.3 Comprehensive Representation -- 3.4 Rumor Classifier -- 4 Experiments -- 4.1 Datasets -- 4.2 Baseline Models -- 4.3 Experimental Settings -- 4.4 Evaluation Metrics -- 4.5 Experimental Results -- 4.6 Discussions -- 5 Conclusion -- References -- Research on Users' Trust in Customer Service Chatbots Based on Human-Computer Interaction -- 1 Introduction -- 2 Literature Review. 3 Interview Analysis Based on Value Focus Thinking. |
| Record Nr. | UNINA-9910634045503321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Scientific Data Management [[electronic resource] ] : First International Conference, BigSDM 2018, Beijing, China, November 30 – December 1, 2018, Revised Selected Papers / / edited by Jianhui Li, Xiaofeng Meng, Ying Zhang, Wenjuan Cui, Zhihui Du
| Big Scientific Data Management [[electronic resource] ] : First International Conference, BigSDM 2018, Beijing, China, November 30 – December 1, 2018, Revised Selected Papers / / edited by Jianhui Li, Xiaofeng Meng, Ying Zhang, Wenjuan Cui, Zhihui Du |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIII, 332 p. 172 illus., 113 illus. in color.) |
| Disciplina | 502.85 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Big data
Computers Computer organization Artificial intelligence Management information systems Computer science Computer security Big Data Information Systems and Communication Service Computer Systems Organization and Communication Networks Artificial Intelligence Management of Computing and Information Systems Systems and Data Security |
| ISBN | 3-030-28061-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Application cases in the big scientific data management -- Paradigms for enhancing scientific discovery through big data -- Data management challenges posed by big scientific data -- Machine learning methods to facilitate scientific discovery -- Science platforms and storage systems for large scale scientific applications -- Data cleansing and quality assurance of science data -- Data policies. |
| Record Nr. | UNISA-996466435603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big Scientific Data Management : First International Conference, BigSDM 2018, Beijing, China, November 30 – December 1, 2018, Revised Selected Papers / / edited by Jianhui Li, Xiaofeng Meng, Ying Zhang, Wenjuan Cui, Zhihui Du
| Big Scientific Data Management : First International Conference, BigSDM 2018, Beijing, China, November 30 – December 1, 2018, Revised Selected Papers / / edited by Jianhui Li, Xiaofeng Meng, Ying Zhang, Wenjuan Cui, Zhihui Du |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIII, 332 p. 172 illus., 113 illus. in color.) |
| Disciplina |
502.85
005.7 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Big data
Computers Computer organization Artificial intelligence Management information systems Computer science Computer security Big Data Information Systems and Communication Service Computer Systems Organization and Communication Networks Artificial Intelligence Management of Computing and Information Systems Systems and Data Security |
| ISBN | 3-030-28061-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Application cases in the big scientific data management -- Paradigms for enhancing scientific discovery through big data -- Data management challenges posed by big scientific data -- Machine learning methods to facilitate scientific discovery -- Science platforms and storage systems for large scale scientific applications -- Data cleansing and quality assurance of science data -- Data policies. |
| Record Nr. | UNINA-9910349308103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Database Systems for Advanced Applications [[electronic resource] ] : 18th International Conference, DASFAA 2013, International Workshops: BDMA, SNSM, SeCoP, Wuhan, China, April 22-25, 2013, Proceedings / / edited by Bonghee Hong, Xiaofeng Meng, Lei Chen, Werner Winiwarter, Wei Song
| Database Systems for Advanced Applications [[electronic resource] ] : 18th International Conference, DASFAA 2013, International Workshops: BDMA, SNSM, SeCoP, Wuhan, China, April 22-25, 2013, Proceedings / / edited by Bonghee Hong, Xiaofeng Meng, Lei Chen, Werner Winiwarter, Wei Song |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XVIII, 245 p. 99 illus.) |
| Disciplina | 005.7 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Application software
Artificial intelligence Information storage and retrieval Database management Computer communication systems Data mining Information Systems Applications (incl. Internet) Artificial Intelligence Information Storage and Retrieval Database Management Computer Communication Networks Data Mining and Knowledge Discovery |
| ISBN | 3-642-40270-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The First International Workshop on Big Data -- Management and Analytics (BDMA) -- From Big Data to Big Data Mining: Challenges, Issues, and Opportunities -- An Economical Query Cost Model in the Cloud -- BC-BSP: A BSP-Based Parallel Iterative Processing System for Big Data on Cloud Architecture -- DNA Encoding for Splice Site Prediction in Large DNA Sequence -- Using a Pipeline Approach to Build Data Cube for Large XML Data Streams -- A Study on MapReduce Processing for Multi-dimensional Continuous Query -- Measuring Proximity in a Graph of Zip Code Spatial Data -- An Efficient Data Access Method Exploiting Quadtrees on MapReduce Frameworks -- Optimized Adaptive Hybrid Indexing for In-memory Column Stores -- Fourth International Workshop on Social Networks and Social Web Mining (SNSM) -- Influence Maximization Algorithm Using Markov Clustering -- An Approximate Approach for Batch Update of Common Preference Group -- A Probabilistic Approach for Events Identification from Social Media RSS Feeds -- A Method of Pre-detecting Privacy Leak in Social Network Service Using Collaborative Filtering -- The Strategies for Supporting Query Specialization and Query Generalization in Social Tagging Systems -- Extracting Relations among Search Properties Based on the Operational Context of Geographical Information Retrieval Systems -- The Media Feature Analysis of Microblog Topics -- First International Workshop on Semantic -- Computing and Personalization (SeCoP) -- Web Service Based Algorithm Management Framework for Stream Data Processing -- Research on Petri Net and IDEF1X Based Production Scheduling Modeling Method -- Product Feature Summarization by Incorporating Domain Information. |
| Record Nr. | UNISA-996465694103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
