Database Systems for Advanced Applications : DASFAA 2022 International Workshops : BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD, Virtual event, April 11-14, 2022, proceedings / / edited by Uday Kiran Rage, Vikram Goyal, P. Krishna Reddy

• Pubblicazione: Cham, Switzerland : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (446 pages)
• Disciplina: 943.005
• Soggetto topico: Database management
• Persona (resp. second.): RageUday Kiran; GoyalVikram; ReddyP. Krishna
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- PMDB -- An Algorithm for Mining Fixed-Length High Utility Itemsets -- 1 Introduction -- 2 Background -- 2.1 Problem Description and Definitions -- 2.2 Related Work -- 3 Algorithm HUIKM -- 3.1 Create a Tree and a Header Table -- 3.2 Ming HUIK from a Tree -- 4 Experimental Results -- 5 Conclusion -- References -- A Novel Method to Create Synthetic Samples with Autoencoder Multi-layer Extreme Learning Machine -- 1 Introduction -- 2 SMOTE Method -- 3 Proposed AE-MLELM-SynMin Method -- 3.1 Training AE-MLELM -- 3.2 Conducting Crossover and Mutation Operations -- 3.3 Creating Synthetic Samples -- 4 Experiments -- 4.1 Experiment Setting -- 4.2 Information Amount Analysis of SMOTE and AE-MLELM-SynMin -- 4.3 Comparison Among AE-MLELM-SynMin, SMOTE, Borderline-SMOTE, Random-SMOTE, and SMOTE-IPF -- 5 Conclusion -- References -- Pattern Mining: Current Challenges and Opportunities -- 1 Introduction -- 2 C1: Mining Patterns in Complex Graph Data -- 3 C2: Targeted Pattern Mining -- 4 C3: Repetitive Sequential Pattern Mining -- 5 C4: Incremental, Stream and Interactive Pattern Mining -- 6 C5: Heuristic Pattern Mining -- 7 C6: Mining Interesting Patterns -- 8 Conclusion -- References -- Why Not to Trust Big Data: Discussing Statistical Paradoxes -- 1 Introduction -- 2 Why Not to Trust on Data Science, AI, ML and Big Data -- 3 Statistical Paradoxes -- 3.1 Berkson Paradox -- 3.2 Yule-Simpson's Paradox -- 4 Existence of Simpson's Paradox in Big Data -- 4.1 Datasets -- 5 Analysis Simpson's Paradox in Real Life: A Case Study -- 5.1 The Dataset -- 5.2 Data Analysis -- 6 Discussion -- 7 Conclusion -- References -- Localized Metric Learning for Large Multi-class Extremely Imbalanced Face Database -- 1 Introduction -- 2 Metric Learning as an Antidote for the Class Imbalance Problem. ; 3 Localized Metric Learning - The Proposed Approach -- 3.1 Division of Dataset Into Subsets -- 3.2 Localized Metric Learning -- 3.3 Algorithm -- 4 Results and Discussions -- 5 Conclusions -- References -- Top-k Dominating Queries on Incremental Datasets -- 1 Introduction -- 2 Literature Review -- 2.1 Top-k Dominance Query -- 2.2 Dynamic Update of Data Mining -- 3 Query Base Preparation -- 4 Algorithm Description -- 5 Experiment and Analysis -- 6 Conclusion -- References -- IWBT -- Collaborative Blockchain Based Distributed Denial of Service Attack Mitigation Approach with IP Reputation System -- 1 Introduction -- 2 Theoretical Background -- 2.1 Blockchain Technology - Brief -- 2.2 Overview of DDoS Mitigation Approaches and Techniques -- 2.3 IP Reputation Scheme -- 3 Problem Description -- 4 Related Work -- 5 Research Questions -- 6 Approach and Next Step -- 6.1 Proposed Architecture -- 6.2 Integration of IP Reputation System with Proposed Architecture -- 6.3 Implementation Strategy -- 6.4 Advantages of Proposed System Over Existing Implementation -- 7 Conclusion -- References -- Model-Driven Development of Distributed Ledger Applications -- 1 Introduction -- 1.1 Running Example -- 2 Background -- 2.1 Distributed Ledger Technology and Hybrid DLT/DB Applications -- 2.2 MDD with the Interaction Flow Modeling Language -- 3 Development of Hybrid DLT/DB Applications -- 3.1 Requirement Specification -- 3.2 Data Design -- 3.3 Interface Design -- 3.4 Operation Design -- 3.5 Architecture Design -- 4 Implementation -- 5 Related Work -- 6 Conclusion -- References -- Towards a Blockchain Solution for Customs Duty-Related Fraud -- 1 Introduction -- 2 Related Literature -- 3 Types of Blockchains for Customs Enforcement -- 4 Hyperledger Fabric -- 4.1 Transaction Overview -- 4.2 Ensuring Transaction Order. ; 5 Detecting and Mitigating Customs Duty Fraud Using Fabric: Three Scenarios -- 5.1 Underreporting the Cargo Weight or Quantity -- 5.2 Relying on a Bill of Lading for Customs Audits -- 5.3 Misrepresenting the Country of Origin: Shipping Goods to an Intermediate Country to Avoid Import Tariffs -- 6 Benchmarking Scalability -- 6.1 Benchmarking Setup -- 6.2 Performance Benchmarking Results and Analysis -- 7 Other Implementation Considerations -- 8 Conclusion -- References -- Securing Cookies/Sessions Through Non-fungible Tokens -- 1 Introduction -- 2 Background -- 3 Literature Review -- 3.1 Blockchain -- 3.2 Cookies -- 4 The Proposed Model -- 4.1 Properties -- 4.2 Preliminaries -- 4.3 Model Description -- 5 Security Analysis and Discussion -- 6 Conclusions and Future Works -- References -- GDMA -- Chinese Spelling Error Detection and Correction Based on Knowledge Graph -- 1 Introduction -- 2 Model -- 2.1 Knowledge Network -- 2.2 Detection and Correction Network -- 2.3 Filter -- 2.4 Loss -- 3 Experiments and Evaluation -- 3.1 Datasets and Baseline -- 3.2 Evaluation -- 3.3 Results -- 4 Related Work -- 5 Conclusion -- References -- Construction and Application of Event Logic Graph: A Survey -- 1 Introduction -- 2 Event Extraction -- 2.1 Methods Based on Pattern Matching -- 2.2 Methods Based on Machine Learning -- 2.3 Methods Based on Deep Learning -- 3 Event Relation Extraction -- 4 Applications -- 4.1 Detect Hot Events -- 4.2 Analyze the Event Lineage -- 4.3 Predict Future Events -- 5 Summary and Prospect -- References -- Enhancing Low-Resource Languages Question Answering with Syntactic Graph -- 1 Introduction -- 2 Syntactic Information Evolvement in mBERT -- 3 Related Work -- 4 Method -- 4.1 Syntactic Graph -- 4.2 Syntactic Graph Prediction Task -- 5 Experiment -- 5.1 Datasets and Baseline Models -- 5.2 Setup and Evaluation Metric. ; 5.3 Experiment Results -- 6 Analysis -- 6.1 Why Use Parallel Sentence Pairs to Train Syntax Task? -- 6.2 Why the Syntactic Graph Prediction Task Works? -- 7 Conclusions -- References -- Profile Consistency Discrimination -- 1 Introduction -- 2 Relate Work -- 2.1 Natural Language Inference -- 2.2 Role Consistency -- 3 Consistency Discrimination -- 3.1 Problem Definition -- 3.2 Consistency Discriminator -- 4 Experiments Setup -- 4.1 Implementation Details and Evaluations -- 4.2 Baselines -- 5 Result -- 6 Case Study -- 7 Conclusion and Future Work -- References -- BDMS -- H-V: An Improved Coding Layout Based on Erasure Coded Storage System -- 1 Introduction -- 2 Related Work -- 3 HRS(n,k) - VRS(n',k') Encoding Method -- 4 Effect Analysis of HRS(n,k) - VRS(n',k') -- 4.1 Data Transmission Performance Analysis -- 4.2 Storage Redundancy Analysis -- 5 Conclusion -- References -- Astral: An Autoencoder-Based Model for Pedestrian Trajectory Prediction of Variable-Length -- 1 Introduction -- 2 Problem Definitions -- 3 Methodology -- 3.1 Model Framework -- 3.2 Autoencoder -- 3.3 Multi-head Attention -- 3.4 Online Model -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Evaluation of Trajectory Prediction -- 4.3 Ablation Studies -- 4.4 Case Study -- 5 Related Work -- 5.1 Crowd Interaction -- 5.2 LSTM for Sequence Prediction -- 6 Conclusion -- References -- A Survey on Spatiotemporal Data Processing Techniques in Smart Urban Rail -- 1 Introduction -- 2 Spatiotemporal Data Processing Technology -- 3 Applications of Smart Urban Rail -- 3.1 Intelligent Scheduling -- 3.2 Intelligent Operation Platform -- 3.3 Intelligent Perception -- 3.4 Intelligent Train Control -- 4 Future Work -- 5 Conclusion -- References -- Fast Vehicle Track Counting in Traffic Video -- 1 Introduction -- 2 Related Work -- 3 Preliminary and Problem Statement. ; 4 An Efficient Vehicle Query Counting Method -- 4.1 Adaptively Choosing Frames for Vehicle Detection -- 4.2 Vehicle Tracking Based on Location and Simple Appearance Features -- 4.3 Cascade Track Judgment and Counting -- 5 Experiments -- 5.1 Settings -- 5.2 Metrics -- 5.3 Experimental Results -- 5.4 Ablation Experiments -- 6 Conclusion -- References -- TSummary: A Traffic Summarization System Using Semantic Words -- 1 Introduction -- 2 System Overview -- 2.1 Feature Extraction -- 2.2 Preliminary Concepts -- 2.3 Structure of TSummary -- 3 Traffic Summarization -- 3.1 Periodic Feature Detection -- 3.2 Road Partitioning -- 3.3 Temporal Merge -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Evaluation Approach -- 4.3 Performance Evaluation -- 5 Related Work -- 6 Conclusions -- References -- Attention-Cooperated Reinforcement Learning for Multi-agent Path Planning -- 1 Introduction -- 2 Related Work -- 2.1 Classical Path Planning Methods -- 2.2 Learning Based Methods -- 3 Problem Formulation -- 4 Approach -- 4.1 State's Structure -- 4.2 Action Space -- 4.3 Reward Design -- 4.4 Model Architecture -- 5 Experiments -- 5.1 Experiment Setting -- 5.2 Training Details -- 5.3 Metrics -- 5.4 Baselines -- 5.5 Results -- 6 Conclusion -- References -- Big Data-Driven Stable Task Allocation in Ride-Hailing Services -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 3.1 Preliminaries and Definition -- 3.2 A Baseline Approach -- 4 Equilibrium Stable Matching and Global Distance Optimization -- 4.1 Chain Algorithm -- 4.2 The Benefit Function for Equilibrium -- 5 Experimental Study -- 6 Conclusion -- References -- Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Markov Decision Process and Markov Game -- 3.2 Mean-Field Reinforcement Learning -- 4 Algorithm. ; 4.1 Weighted Mean-Field Approximation.
• Titolo autorizzato: Database Systems for Advanced Applications
• ISBN: 3-031-11217-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996483162603316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Computer Science