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Advances in databases and information systems : 26th European conference, ADBIS 2022, Turin, Italy, September 5-8, 2022, proceedings / / Silvia Chiusano, Tania Cerquitelli, Robert Wrembel (editors)
| Advances in databases and information systems : 26th European conference, ADBIS 2022, Turin, Italy, September 5-8, 2022, proceedings / / Silvia Chiusano, Tania Cerquitelli, Robert Wrembel (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (419 pages) |
| Disciplina | 005.74 |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Database management
Information technology |
| ISBN | 3-031-15740-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of the Keynote Talks -- Toward AI-Powered Data-Driven Education -- Insider Stories: Analyzing Stress, Depression, and Staff Welfare at Major US Companies from Online Reviews -- Tensor Query Processing: Neural Network to speed up Databases and Classical ML! -- Understanding and Rewiring Cities and Societies: A Computational Social Science Perspective -- Contents -- Keynote Talk and Tutorials -- Understanding and Rewiring Cities -- 1 Introduction -- 2 Neighborhoods' Characteristics and Urban Vitality -- 3 How Safety Perception Influences Vitality -- 4 The Interplay of Neighborhoods' Socio-Economic Conditions, Urban Environment, People Behaviors, and Crime -- 5 The Impact of COVID-19 Pandemic on Human Behavior -- 6 Looking Ahead -- References -- AI Approaches in Processing and Using Data in Personalized Medicine -- 1 Introduction -- 2 Different Sources of Patients' Medical Big Data - Collection and Processing -- 3 Emergent Artificial Intelligence Approaches for Supporting Quality Medical Decisions -- 4 Medical Decision Support Systems -- 4.1 Smart Ambient Intelligent Living Environments -- 4.2 Intelligent System for Supporting Cancer Patients -- 5 Conclusion -- References -- Explainable, Interpretable, Trustworthy, Responsible, Ethical, Fair, Verifiable AI... What's Next? -- 1 Introduction -- 2 Explainability -- 3 Interpretability -- 4 The Problem of Bias -- 5 Fairness -- 6 Verification -- 7 Accountability -- 8 Conclusions -- References -- OLAP and NoSQL: Happily Ever After -- 1 Introduction and Motivation -- 2 Schema-on-Read Approaches -- 2.1 Graph OLAP -- 2.2 Approximate OLAP -- 3 Schema-on-Write Approaches -- 3.1 Mono-Model Approaches -- 3.2 Multi-model Approaches -- 4 Conclusion -- References -- What's New in Temporal Databases? -- 1 Introduction -- 2 Query Processing of Primitive Operators.
2.1 Temporal Selection -- 2.2 Temporal Joins -- 3 New Directions in Models and Semantics -- 4 Systems -- 5 Conclusion and Future Directions -- References -- Graph Processing -- An Algebra for Path Manipulation in Graph Databases -- 1 Introduction -- 2 Related Work -- 3 Data Model -- 4 Path Algebra -- 4.1 Operations over Paths -- 4.2 Operations over Sets of Paths -- 4.3 Examples of Queries -- 5 Properties -- 6 Use Cases -- 6.1 Transportation -- 6.2 Proteins -- 7 Discussion -- 7.1 Labels and Repeated Results -- 7.2 Notions of Compatibility -- 7.3 Paths Queries Across Multiple Graphs -- References -- Road Network Graph Representation for Traffic Analysis and Routing -- 1 Introduction -- 2 Related Work -- 3 Road Network Graph Modelling -- 3.1 Primal Graph -- 3.2 Dual Graph -- 4 Generation of Traffic Data -- 5 Traffic Data Integration -- 6 Routing -- 6.1 Managing Road Closures -- 7 Road Network Analysis -- 8 Conclusion -- References -- Parallel Discovery of Top-k Weighted Motifs in Large Graphs -- 1 Introduction -- 2 Related Research -- 3 Background -- 4 The Proposed Approach -- 4.1 Correctness -- 4.2 Extension to 4-Cliques -- 5 Performance Evaluation -- 6 Conclusions -- References -- A Data Quality Framework for Graph-Based Virtual Data Integration Systems -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Running Example -- 3.2 Formal Background -- 4 Managing Data Quality in Virtual Data Integration -- 4.1 DC Generation and Graph-Based Representation -- 4.2 Global DC Management -- 5 Global Query Rewriting with Global DCs -- 5.1 Query with DCs -- 6 Validation -- 7 Conclusions and Future Work -- References -- Time Series and Data Streams -- Generating Comparative Explanations of Financial Time Series -- 1 Introduction -- 2 Literature Review -- 3 Data Overview -- 4 Financial Data Summarizer -- 5 Experiments -- 5.1 Intrinsic Evaluation. 5.2 Extrinsic Summary Validation -- 6 Conclusions and Future Works -- References -- Summarizing Edge-Device Data via Core Items -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Apache Storm -- 3.2 Stream Summarization -- 4 Algorithms for Core Item Sets Computation -- 4.1 SoftSieving -- 5 Experimental Evaluation -- 6 Conclusion -- References -- Parallel Techniques for Variable Size Segmentation of Time Series Datasets -- 1 Introduction -- 2 Problem Definition and Background -- 2.1 SAX Representation -- 2.2 Similarity Queries -- 2.3 Problem Statement -- 3 Adaptive SAX Based on the Representation's Sum of Squared Errors (ASAX_SSE) -- 3.1 Sum of Squared Errors (SSE) -- 3.2 SSE of PAA Representation Considering One Segment (LSSE) -- 3.3 SSE of PAA Representation Considering All Segments (GSSE) -- 3.4 Variable-Size Segmentation Based on SSE Measurement -- 3.5 Lower Bounding of the Similarity Measure -- 4 Parallel Versions of ASAX_SSE -- 4.1 Parallelization on Data -- 4.2 Parallelization on Segments -- 5 Experiments -- 5.1 Setup -- 5.2 Precision of k-Nearest Neighbor Search -- 5.3 Scalability -- 6 Related Work -- 7 Conclusion -- References -- On Line Analytical Processing -- ORTree: Tuning Diversified Similarity Queries by Means of Data Partitioning -- 1 Introduction -- 2 Background -- 2.1 Range-Tree -- 2.2 MAM - Omni-Technique -- 2.3 The Diversity Problem -- 2.4 Diversity Algorithms -- 2.5 Candidate Selection -- 3 Methodology -- 4 Experiments -- 4.1 Index Creation Time -- 4.2 Quality Experiments -- 4.3 Number of Elements Retrieved -- 4.4 Query Time Evaluation -- 5 Conclusions and Future Work -- References -- A Knowledge-Based Approach to Support Analytic Query Answering in Semantic Data Lakes*-12pt -- 1 Introduction -- 2 Case Study: Azure COVID-19 Data Lake -- 3 Semantic Data Lake: Data Model -- 3.1 Metadata Layer -- 3.2 Knowledge Layer. 4 Integration and Mapping Discovery -- 5 Query Answering -- 6 Evaluation -- 7 Conclusion -- References -- Insight-Based Vocalization of OLAP Sessions -- 1 Introduction -- 2 Related Work -- 3 Overview -- 4 Formal Background -- 5 The Vocalization Process -- 5.1 Insight Generation -- 5.2 Insight Selection -- 5.3 Vocalization -- 6 A Closer Look at the VOOL Modules -- 7 Evaluation and Conclusion -- References -- Advanced Querying -- Querying Temporal Anomalies in Healthcare Information Systems and Beyond -- 1 Introduction -- 2 Related Work -- 3 Temporal Anomalies -- 3.1 Preliminaries -- 3.2 Definition of Temporal Anomalies -- 3.3 Anomaly Labelling and Retrieval -- 4 SQL Implementations -- 4.1 Unfold/Fold -- 4.2 Unfold/Fold Join Filtered -- 4.3 Window Function -- 5 Experimental Evaluation -- 5.1 Setup and Dataset -- 5.2 Results -- 6 Conclusion and Future Work -- References -- Soft Spatial Querying on JSON Data Sets -- 1 Introduction -- 2 Background -- 2.1 Brief Introduction to Fuzzy Sets -- 2.2 Related Work -- 2.3 The J-CO Framework -- 3 Case Study and J-CO-QL+ Script -- 3.1 Case Study -- 3.2 Definition of Fuzzy Concepts -- 3.3 Processing a GeoJSON Document -- 3.4 Soft Spatial Querying -- 4 Conclusions -- References -- Maximum Range-Sum for Dynamically Occurring Objects with Decaying Weights -- 1 Introduction -- 2 Preliminaries -- 3 Approximate Solution to DDW-MaxRS -- 3.1 Properties of the Approximate Solution -- 3.2 Memory-Efficient Approximate Solution -- 4 Generalization -- 5 Experimental Study -- 6 Related Work -- 7 Conclusions and Future Work -- References -- Performance -- Storage Management with Multi-Version Partitioned BTrees -- 1 Introduction -- 2 Architecture of Multi-Version Partitioned BTrees -- 3 Cached Partition: Stop Re-writing Valid Data -- 4 Garbage Collection and Space Reclamation -- 5 Experimental Evaluation -- 6 Conclusion. References -- Generalization Aware Compression of Molecular Trajectories -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Experiments -- 5 Conclusions and Future Work -- References -- Analysing Workload Trends for Boosting Triple Stores Performance -- 1 Introduction -- 2 Background and Related Work -- 2.1 RDF Graph and Queries Processing -- 2.2 Indexing and Cache -- 2.3 Replication -- 2.4 Workload Adaption -- 2.5 Heat Query -- 3 Heat Item Gets Colder -- 3.1 Smoothing Methods -- 3.2 Exponential Smoothing -- 3.3 Holt-Winters' Additive Method -- 4 Experimental Evaluation -- 4.1 Exponential Smoothing -- 4.2 Hot Data Parts -- 4.3 Seasonality Factors and Capacity -- 5 Conclusion and Future Work -- References -- Machine Learning -- Comparison of Models Built Using AutoML and Data Fusion -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Proposed Approach -- 4.1 Datasets Description -- 4.2 Data Fusion Process -- 4.3 Experimental Design -- 4.4 Performance Evaluation -- 5 Conclusion and Future Work -- References -- Dimensional Data KNN-Based Imputation -- 1 Introduction -- 2 Related Work -- 3 DW Dimension -- 4 Distance Between Dimension Instances -- 4.1 Attribute Distance -- 4.2 Hierarchy Level Instance Distance -- 4.3 Hierarchy Instance Distance -- 4.4 Dimension Instance Weight -- 5 H-OLAPKNN Imputation -- 5.1 H-OLAPKNN Overview -- 5.2 Imputation for Parameters by OLAPKNN -- 6 Experimental Assessment -- 6.1 Technical Environment and Datasets -- 6.2 Experimental Methodology -- 6.3 Results and Analysis -- 7 Conclusion and Future Work -- References -- Feature Ranking from Random Forest Through Complex Network's Centrality Measures*2mm -- 1 Introduction -- 2 Related Work -- 2.1 Feature Selection and Ranking -- 2.2 Random Forests -- 2.3 Complex Networks -- 3 From Trees in a Random Forest to a Complex Network -- 4 Experimental Setup. 5 Results and Discussion. |
| Record Nr. | UNISA-996485665503316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Databases and Information Systems : 26th European Conference, ADBIS 2022, Turin, Italy, September 5–8, 2022, Proceedings / / edited by Silvia Chiusano, Tania Cerquitelli, Robert Wrembel
| Advances in Databases and Information Systems : 26th European Conference, ADBIS 2022, Turin, Italy, September 5–8, 2022, Proceedings / / edited by Silvia Chiusano, Tania Cerquitelli, Robert Wrembel |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (419 pages) |
| Disciplina | 005.74 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Application software Artificial intelligence Data structures (Computer science) Information theory Computer engineering Computer networks Data mining Database Management Computer and Information Systems Applications Artificial Intelligence Data Structures and Information Theory Computer Engineering and Networks Data Mining and Knowledge Discovery Gestió de bases de dades Bases de dades |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031157400
3031157400 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Talk and Tutorials -- Graph Processing -- Time Series and Data Streams -- On Line Analytical Processing -- Advanced Querying -- Performance -- Machine Learning -- Data Science Methods. |
| Record Nr. | UNINA-9910590049403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
New trends in database and information systems : ADBIS 2022 short papers, doctoral consortium and workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022, proceedings / / Silvia Chiusano, [and six others], editors
| New trends in database and information systems : ADBIS 2022 short papers, doctoral consortium and workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022, proceedings / / Silvia Chiusano, [and six others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (675 pages) |
| Disciplina | 006.3 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Artificial intelligence
Databases |
| ISBN | 3-031-15743-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- ADBIS Short Papers: Data Understanding, Modeling and Visualization -- On an Extensible Conceptual Data Model by a Non-formal Example -- 1 Introduction -- 2 Formal Bases -- 3 An Extensible Conceptual Data Model -- 3.1 Formalization of Hierarchical Relations -- 3.2 Conceptual Schema -- 4 Formal Semantics of Hierarchical Relations Algebra -- 5 The Conceptual Data Model Extensibility Concept -- 5.1 Non-formal Example of Extending the Conceptual Data Model -- 6 Related Work -- 7 Conclusions -- References -- Understanding Misinformation About COVID-19 in WhatsApp Messages -- 1 Introduction -- 2 Related Work -- 3 COVID-19.BR Data Set -- 4 Understanding Misinformation About COVID-19 Using LIME and LIWC -- 4.1 Applying LIME -- 4.2 Applying LIWC -- 5 Conclusion -- References -- Automatic Inference of Taxonomy Relationships Among Legal Documents -- 1 Introduction -- 2 Related Work -- 3 The Classification System -- 3.1 Preliminaries -- 3.2 Problem Statement -- 3.3 Text Representations -- 3.4 Classifiers -- 4 Experimental Results -- 4.1 Experimental Design -- 4.2 Results Discussion -- 5 Takeaways and Future Directions -- References -- Visualisation of Numerical Query Results on Industrial Data Streams -- 1 Introduction -- 2 State of the Art -- 3 The DISPLAY Operator -- 4 Experimental Validation -- 5 Conclusions and Contributions -- References -- ADBIS Short Papers: Fairness in Data processing -- Clustering-Based Subgroup Detection for Automated Fairness Analysis -- 1 Introduction -- 2 Related Work -- 3 AI Fairness -- 3.1 Subgroup Fairness Metrics -- 4 Automatic Subgroup Detection -- 5 Results -- 6 Conclusion and Future Work -- References -- Open Science in the Cloud: The CloudFAIR Architecture for FAIR-compliant Repositories -- 1 Introduction -- 2 The BigFAIR Architecture -- 3 The CloudFAIR Architecture.
4 Performance Evaluation -- 4.1 Queries Involving Different Storage Components -- 4.2 Effect of the Number of Data Providers -- 5 Conclusions and Future Work -- References -- Detecting Simpson's Paradox: A Step Towards Fairness in Machine Learning -- 1 Introduction -- 2 Yule-Simpson's Paradox -- 3 Detecting Simpson's Paradox -- 3.1 Algorithm -- 4 Experiments -- 4.1 Datasets -- 5 Discussion and Future Work -- 6 Conclusion -- References -- ADBIS Short Papers: Data Management Pipeline, Information and Process Retrieval -- FusionFlow: An Integrated System Workflow for Gene Fusion Detection in Genomic Samples -- 1 Introduction -- 2 The Workflow -- 2.1 Architecture -- 3 Workflow Test and Discussion -- 4 Conclusions -- References -- ProSA Pipeline: Provenance Conquers the Chase -- 1 Introduction -- 2 Basics and Related Work -- 3 The ProSA-Pipeline -- 3.1 The Theory Behind ProSA -- 3.2 The Steps of the ProSA Pipeline -- 3.3 Implementing ProSA -- 4 Conclusion -- References -- A Tabular Open Data Search Engine Based on Word Embeddings for Data Integration -- 1 Introduction -- 2 Related Work -- 3 Tabular Open Data Search and Integration with Word Embeddings -- 3.1 Crawler -- 3.2 Storage -- 3.3 Microservice -- 3.4 Web Application -- 4 Using Search! -- 5 Conclusions and Future Work -- References -- The Use of M2P in Business Process Improvement and Optimization -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Business Process Management (BPM) -- 3.2 Business Process Improvement -- 3.3 Business Process Modelling -- 3.4 Unified Modelling Language -- 3.5 Model Transformation -- 4 Contribution -- 4.1 Transformation Table -- 4.2 The Algorithm of Transformation -- 4.3 Insurance Claim Case Study -- 5 Conclusion and Future Works -- References -- Embedding Process Structure in Activities for Process Mapping and Comparison -- 1 Introduction -- 2 Related Work. 3 Methods -- 4 Case Study -- 4.1 Settings -- 4.2 Results -- 5 Conclusions -- References -- ADBIS Short Papers: Data Access Optimization -- Bulk Loading of the Secondary Index in LSM-Based Stores for Flash Memory -- 1 Introduction -- 2 Bulk Loading of the Secondary Index -- 2.1 LSM Tree -- 2.2 Bulk Loading Outline -- 2.3 Bulk Loading for Flash Memory -- 3 Proposed Solution -- 4 Experiments -- 5 Conclusions -- References -- Blink: Lightweight Sample Runs for Cost Optimization of Big Data Applications -- 1 Introduction -- 2 Related Work -- 3 Background -- 4 Efficient Sample Runs -- 4.1 Size of Sample Runs -- 4.2 Parallelism -- 4.3 Cluster Configuration -- 4.4 Number of Sample Runs -- 5 Blink -- 5.1 Sample Runs Manager -- 5.2 Data Size Predictor -- 5.3 Execution Memory Predictor -- 5.4 Cluster Size Selector -- 6 Evaluation -- 6.1 Selected Cluster Size -- 6.2 Overhead of Sample Runs -- 7 Conclusion -- References -- ADBIS Short Papers: Data Pre-processing and Cleaning -- A RoBERTa Based Approach for Address Validation -- 1 Introduction -- 2 Related Work -- 2.1 Address Parsing -- 2.2 Address Classification -- 3 Address Validation Approach -- 3.1 Address Standardization -- 3.2 Address Classification -- 4 Evaluation -- 4.1 Experimental Setting -- 4.2 Address Parsing Evaluation -- 4.3 Address Classification Evaluation -- 5 Conclusion -- References -- Empirical Comparison of Semantic Similarity Measures for Technical Question Answering -- 1 Introduction -- 1.1 Document Retrieval -- 1.2 Technical Question Answering -- 1.3 Semantic Similarity Measures -- 2 Compared Methods -- 2.1 Keyword Extraction Based Methods -- 2.2 Word Vector Based Methods -- 2.3 Deep Learning Based Methods -- 3 Computational Comparison -- 3.1 Evaluation Data -- 3.2 Evaluation Measures -- 3.3 Results -- 4 Conclusion and Further Works -- References. Denoising Architecture for Unsupervised Anomaly Detection in Time-Series -- 1 Introduction -- 2 Related Work -- 3 Unsupervised Time-Series Anomaly Detection -- 4 Anomaly Detection Using LSTM Autoencoder -- 5 The Denoising Architecture -- 6 Experimental Results -- 6.1 Datasets -- 6.2 Experimental Setup -- 6.3 Benchmarking Results -- 7 Conclusion -- References -- Discretizing Numerical Attributes: An Analysis of Human Perceptions -- 1 Introduction -- 2 Related Work -- 3 Motivation -- 4 The LSQM Method -- 5 Experimental Design -- 6 Analysis and Result -- 7 Conclusion -- References -- ADBIS Short Papers: Modeling and Querying of Graph Databases -- Interactive Knowledge Graph Querying Through Examples and Facets -- 1 Introduction -- 2 Model -- 2.1 Knowledge Graphs -- 2.2 Interaction Model -- 2.3 Multiple Semantics for User Interactions -- 3 Optimizing the Interaction -- 3.1 Assuming Known Probabilities -- 3.2 Estimating the Probabilities -- 4 Related Work -- References -- It's Too Noisy in Here: Using Projection to Improve Differential Privacy on RDF Graphs -- 1 Introduction -- 2 Background: Differential Privacy -- 2.1 Definition of Differential Privacy -- 2.2 Noise Calibration -- 2.3 Sensitivity and Privacy on (Bounded QL-Out-Degree) Graphs -- 3 Related Work -- 3.1 Models and Distances for DP on Graphs -- 3.2 Applying DP on Graphs -- 3.3 Privacy over RDF -- 4 Proposed Approach: From a Subspace with Low-Sensitivity Queries to G -- 4.1 Proposed Projection Method -- 4.2 Privacy and Projections -- 4.3 Privacy on Unbounded Graphs Through Projection -- 5 Analytical and Experimental Evaluation -- 5.1 Considered Query and Interest of the Approach -- 5.2 Overall Utility of the Approach -- 6 Conclusion -- References -- Modeling and Querying Sensor Networks Using Temporal Graph Databases -- 1 Introduction and Related Work -- 2 Background and Preliminary Definitions. 3 Temporal Graphs for Sensor Networks -- 4 Temporal Paths in Sensor Networks -- 5 Computing the Paths -- 6 Conclusion and Future Work -- References -- Indexing Continuous Paths in Temporal Graphs -- 1 Introduction -- 2 Background -- 3 An Index for Continuous Paths: TGIndex -- 4 Using the Index -- 5 Experimental Evaluation -- 6 Conclusion -- References -- ADBIS Short Papers: Data Science and Machine Learning -- Unsupervised Extractive Text Summarization Using Frequency-Based Sentence Clustering -- 1 Introduction -- 2 Related Works -- 3 Proposal -- 3.1 Linguistic Pre-processing -- 3.2 Sentence Feature Vector Representation -- 3.3 Sentence Clustering -- 3.4 Summary Building -- 4 Experimental Evaluation -- 4.1 Prototype Implementation -- 4.2 Experimental Metrics -- 4.3 Experimental Data -- 4.4 Experimental Results -- 5 Conclusion -- References -- Experimental Comparison of Theory-Guided Deep Learning Algorithms -- 1 Introduction -- 2 Related Works -- 2.1 Knowledge Source -- 2.2 Knowledge Representation -- 2.3 Knowledge Integration -- 3 Datasets and Methods -- 3.1 Lake Temperature -- 3.2 Convective Movements in Climate Modeling -- 4 Experimental Results -- 5 Conclusions -- References -- Hyper-parameters Tuning of Artificial Neural Networks: An Application in the Field of Recommender Systems -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Activation Functions -- 3.2 Weight Initialization -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Metrics -- 4.3 CiteULike Experiments in Recommendation of Scientific Publications -- 4.4 AMiner Citation Network Experiments -- 5 Discussion of the Experimental Results -- 6 Conclusion and Future Work -- References -- Exploring Latent Space Using a Non-linear Dimensionality Reduction Algorithm for Style Transfer Application -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experimental Validation. 4.1 The Dataset. |
| Record Nr. | UNISA-996485665303316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
New Trends in Database and Information Systems : ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5–8, 2022, Proceedings / / edited by Silvia Chiusano, Tania Cerquitelli, Robert Wrembel, Kjetil Nørvåg, Barbara Catania, Genoveva Vargas-Solar, Ester Zumpano
| New Trends in Database and Information Systems : ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5–8, 2022, Proceedings / / edited by Silvia Chiusano, Tania Cerquitelli, Robert Wrembel, Kjetil Nørvåg, Barbara Catania, Genoveva Vargas-Solar, Ester Zumpano |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (675 pages) |
| Disciplina |
006.3
005.74 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Database management
Application software Artificial intelligence Computer engineering Computer networks Data mining Data structures (Computer science) Information theory Database Management Computer and Information Systems Applications Artificial Intelligence Computer Engineering and Networks Data Mining and Knowledge Discovery Data Structures and Information Theory Gestió de bases de dades Bases de dades |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031157431
3031157435 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ADBIS Short Papers: Data Understanding, Modeling and Visualization -- ADBIS Short Papers: Fairness in Data Processing -- ADBIS Short Papers: Data Management Pipeline, Information and Process Retrieval -- ADBIS Short Papers: Data Access Optimization -- ADBIS Short Papers: Data Pre-Processing and Cleaning -- ADBIS Short Papers: Modeling and Querying of Graph Databases -- ADBIS Short Papers: Data Science and Machine Learning -- DOING: 3rd Workshop on Intelligent Data – From Data to Knowledge -- K-GALS: 1st Workshop on Knowledge Graphs Analysis on a Large Scale -- MADEISD: 4th Workshop on Modern Approaches in Data Engineering and Information System Design -- MegaData: 2nd Workshop on Advanced Data Systems Management, Engineering, and Analytics -- SWODCH: 2nd Workshop on Semantic Web and Ontology Design for Cultural Heritage -- Doctoral Consortium. |
| Record Nr. | UNINA-9910590068303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
New Trends in Databases and Information Systems : ADBIS 2018 Short Papers and Workshops, AIQA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, DC, Budapest, Hungary, September, 2-5, 2018, Proceedings / / edited by András Benczúr, Bernhard Thalheim, Tomáš Horváth, Silvia Chiusano, Tania Cerquitelli, Csaba Sidló, Peter Z. Revesz
| New Trends in Databases and Information Systems : ADBIS 2018 Short Papers and Workshops, AIQA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, DC, Budapest, Hungary, September, 2-5, 2018, Proceedings / / edited by András Benczúr, Bernhard Thalheim, Tomáš Horváth, Silvia Chiusano, Tania Cerquitelli, Csaba Sidló, Peter Z. Revesz |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXIV, 424 p. 111 illus.) |
| Disciplina | 005.74 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Database management
Computer networks Database Management Computer Communication Networks |
| ISBN | 3-030-00063-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ADBIS 2018 Short Papers -- First Workshop on Advances on Big Data Management, Analytics, Data Privacy and Security, BigDataMAPS 2018 -- First International Workshop on New Frontiers on Meta-data Management and Usage, M2U 2018 -- Citizen Science Applications and Citizen Databases Workshop, CSADB 2018 -- International Workshop on Articial Intelligence for Question Answering, AI*QA 2018 -- International Workshop on BIG Data Storage, Processing and Mining for Personalized MEDicine, BIGPMED 2018 -- Current Trends in Contemporary Information Systems and Their Architectures, ISTREND 2018 -- Doctoral Consortium. |
| Record Nr. | UNINA-9910299290303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||