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Big Data and Artificial Intelligence : 11th International Conference, BDA 2023, Delhi, India, December 7-9, 2023, Proceedings / / Vikram Goyal [and five others], editors
| Big Data and Artificial Intelligence : 11th International Conference, BDA 2023, Delhi, India, December 7-9, 2023, Proceedings / / Vikram Goyal [and five others], editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (274 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-031-49601-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Lectures -- Representation Learning for Dialog Models -- Sparsity, modularity, and structural plasticity in deep neural networks -- Artificial Intelligence in Healthcare -- Tuberculosis disease diagnosis using controlled super resolution -- GREAT AI in Medical Appropriateness and Value-Based-Care -- Large Language Models -- KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models -- SciPhyRAG - Retrieval Augmentation to Improve LLMs on Physics Q&A -- Revolutionizing High School Physics Education: A Novel Dataset -- Context-Enhanced Language Models for Generating Multi-Paper Citations -- GEC-DCL: Grammatical Error Correction Model with Dynamic Context Learning for Paragraphs & Scholarly Papers -- Data Analytics for Low Resource Domains -- A Deep Learning Emotion Classification Framework for Low Resource Languages -- Assessing the Efficacy of Synthetic Data for Enhancing Machine Translation Models in Low Resource Domains -- Artificial Intelligence for Innovative Applications -- Evaluation of Hybrid Quantum Approximate Inference Methods on Bayesian Networks -- IndoorGNN: A Graph Neural Network based approach for Indoor Localization using WiFi RSSI -- Ensemble-Based Road Surface Crack Detection: A Comprehensive Approach -- Potpourri -- Fast similarity search in large-scale Iris databases using high-dimensional hashing -- Explaining Finetuned Transformers on Hate Speech Predictions using Layerwise Relevance Propagation -- Multilingual Speech Sentiment Recognition using Spiking Neural Networks -- FopLAHD: Federated optimization using Locally Approximated Hessian Diagonal -- A Review of Approaches on Facets for Building IT-based Career Guidance Systems. |
| Record Nr. | UNISA-996574259803316 |
| Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big Data and Artificial Intelligence : 11th International Conference, BDA 2023, Delhi, India, December 7–9, 2023, Proceedings / / edited by Vikram Goyal, Naveen Kumar, Sourav S. Bhowmick, Pawan Goyal, Navneet Goyal, Dhruv Kumar
| Big Data and Artificial Intelligence : 11th International Conference, BDA 2023, Delhi, India, December 7–9, 2023, Proceedings / / edited by Vikram Goyal, Naveen Kumar, Sourav S. Bhowmick, Pawan Goyal, Navneet Goyal, Dhruv Kumar |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (274 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Computers, Special purpose Social sciences - Data processing Education - Data processing Data Mining and Knowledge Discovery Machine Learning Special Purpose and Application-Based Systems Computer Application in Social and Behavioral Sciences Computers and Education |
| ISBN | 3-031-49601-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Lectures -- Representation Learning for Dialog Models -- Sparsity, modularity, and structural plasticity in deep neural networks -- Artificial Intelligence in Healthcare -- Tuberculosis disease diagnosis using controlled super resolution -- GREAT AI in Medical Appropriateness and Value-Based-Care -- Large Language Models -- KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models -- SciPhyRAG - Retrieval Augmentation to Improve LLMs on Physics Q&A -- Revolutionizing High School Physics Education: A Novel Dataset -- Context-Enhanced Language Models for Generating Multi-Paper Citations -- GEC-DCL: Grammatical Error Correction Model with Dynamic Context Learning for Paragraphs & Scholarly Papers -- Data Analytics for Low Resource Domains -- A Deep Learning Emotion Classification Framework for Low Resource Languages -- Assessing the Efficacy of Synthetic Data for Enhancing Machine Translation Models in Low Resource Domains -- Artificial Intelligence for Innovative Applications -- Evaluation of Hybrid Quantum Approximate Inference Methods on Bayesian Networks -- IndoorGNN: A Graph Neural Network based approach for Indoor Localization using WiFi RSSI -- Ensemble-Based Road Surface Crack Detection: A Comprehensive Approach -- Potpourri -- Fast similarity search in large-scale Iris databases using high-dimensional hashing -- Explaining Finetuned Transformers on Hate Speech Predictions using Layerwise Relevance Propagation -- Multilingual Speech Sentiment Recognition using Spiking Neural Networks -- FopLAHD: Federated optimization using Locally Approximated Hessian Diagonal -- A Review of Approaches on Facets for Building IT-based Career Guidance Systems. |
| Record Nr. | UNINA-9910767569003321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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
| 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 |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (446 pages) |
| Disciplina | 943.005 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Database management |
| ISBN | 3-031-11217-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNISA-996483162603316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Database Systems for Advanced Applications [[electronic resource] ] : 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part II / / edited by Arnab Bhattacharya, Janice Lee Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran
| Database Systems for Advanced Applications [[electronic resource] ] : 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part II / / edited by Arnab Bhattacharya, Janice Lee Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (744 pages) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Database management Education—Data processing Social sciences—Data processing Machine learning Data Mining and Knowledge Discovery Database Management Computers and Education Computer Application in Social and Behavioral Sciences Machine Learning |
| ISBN | 3-031-00126-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996472069503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Database Systems for Advanced Applications [[electronic resource] ] : 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part III / / edited by Arnab Bhattacharya, Janice Lee Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran
| Database Systems for Advanced Applications [[electronic resource] ] : 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part III / / edited by Arnab Bhattacharya, Janice Lee Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (577 pages) |
| Disciplina | 005.7565 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Database management Computer networks Social sciences—Data processing Application software Artificial intelligence Data Mining and Knowledge Discovery Database Management Computer Communication Networks Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications Artificial Intelligence Gestió de bases de dades |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-00129-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996472069803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Database Systems for Advanced Applications : 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part II / / edited by Arnab Bhattacharya, Janice Lee Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran
| Database Systems for Advanced Applications : 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part II / / edited by Arnab Bhattacharya, Janice Lee Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (744 pages) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Database management Education - Data processing Social sciences - Data processing Machine learning Data Mining and Knowledge Discovery Database Management Computers and Education Computer Application in Social and Behavioral Sciences Machine Learning |
| ISBN |
9783031001260
3031001265 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910568244803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Database Systems for Advanced Applications : 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part III / / edited by Arnab Bhattacharya, Janice Lee Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran
| Database Systems for Advanced Applications : 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part III / / edited by Arnab Bhattacharya, Janice Lee Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (577 pages) |
| Disciplina | 005.7565 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Database management Computer networks Social sciences - Data processing Application software Artificial intelligence Data Mining and Knowledge Discovery Database Management Computer Communication Networks Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications Artificial Intelligence Gestió de bases de dades |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031001291
303100129X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910564694103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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
| 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 |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (446 pages) |
| Disciplina |
943.005
005.74 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Coding theory Information theory Software engineering Compilers (Computer programs) Operating systems (Computers) Database management Data Mining and Knowledge Discovery Coding and Information Theory Software Engineering Compilers and Interpreters Operating Systems Database Management |
| ISBN |
9783031112171
3031112172 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Algorithm for Mining Fixed-Length High Utility Itemsets -- A Novel Method to Create Synthetic Samples with Autoencoder Multi-layer Extreme Learning Machine -- Pattern Mining: Current Challenges and Opportunities -- Why not to Trust Big Data: Identifying Existence of Simpson’s Paradox Localized Metric Learning for Large Multi-Class Extremely Imbalanced Face Database -- Top-k dominating queries on incremental datasets -- Collaborative Blockchain based Distributed Denial of Service Attack Mitigation approach with IP Reputation System -- Model-Driven Development of Distributed Ledger Applications Towards a Blockchain Solution for Customs Duty-Related Fraud -- Securing Cookies/Sessions through Non-Fungible Tokens -- Chinese Spelling Error Detection and Correction Based on Knowledge Graph Construction and Application of Event Logic Graph: A Survey -- Enhancing Low-resource Languages Question Answering with Syntactic Graph -- Profile Consistency Discrimination -- H-V：An Improved Coding Layout based on Erasure Coded Storage System -- Astral: An Autoencoder-based Model for Pedestrian Trajectory Prediction of Variable-Length -- A Survey on Spatiotemporal Data Processing Techniques in Smart Urban Rail -- Fast Vehicle Track Counting in Traffic Video -- Summary A Traffic Summarization System using Semantic Words -- Attention_Cooperated_Reinforcement_Learning_for_Multi_agent_Path_Planning -- Big Data-driven Stable Task Allocation in Ride-hailing Services -- Weighted_Mean_Field_Multi_Agent_Reinforcement_Learning_via_Reward_Attribution_Decomposition -- Evaluating Presto and SparkSQL with TPC-DS -- Optimizing the Age of Sensed Information in Cyber-Physical Systems -- Aggregate Query Result Correctness using pattern Tables -- Time Series Data Quality Enhancing based on pattern Alignment -- Research on Feature extraction method of data quality intelligent detection -- Big Data Resources to Support Research Opportunities on Air Pollution Analysis in India -- Air Quality Data Collection in Hyderabad Using Low-cost Sensors: Initial Experiences -- Visualizing Spatio-Temporal Variation of Ambient Air Pollution in Four Small Towns in India. |
| Record Nr. | UNINA-9910584480803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||