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ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium [[electronic resource] ] : International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Lyon, France, August 25–27, 2020, Proceedings / / edited by Ladjel Bellatreche, Mária Bieliková, Omar Boussaïd, Barbara Catania, Jérôme Darmont, Elena Demidova, Fabien Duchateau, Mark Hall, Tanja Merčun, Boris Novikov, Christos Papatheodorou, Thomas Risse, Oscar Romero, Lucile Sautot, Guilaine Talens, Robert Wrembel, Maja Žumer
| ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium [[electronic resource] ] : International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Lyon, France, August 25–27, 2020, Proceedings / / edited by Ladjel Bellatreche, Mária Bieliková, Omar Boussaïd, Barbara Catania, Jérôme Darmont, Elena Demidova, Fabien Duchateau, Mark Hall, Tanja Merčun, Boris Novikov, Christos Papatheodorou, Thomas Risse, Oscar Romero, Lucile Sautot, Guilaine Talens, Robert Wrembel, Maja Žumer |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVIII, 370 p. 28 illus.) |
| Disciplina | 005.74 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Database management
Artificial intelligence Application software Computers Data structures (Computer science) Database Management Artificial Intelligence Information Systems Applications (incl. Internet) Computer Applications Theory of Computation Data Structures and Information Theory |
| ISBN | 3-030-55814-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1st Workshop on Intelligent Data - From Data to Knowledge (DOING 2020) -- 2nd Workshop on Modern Approaches in Data Engineering and Information System Design (MADEISD 2020) -- 1st Workshop on Scientic Knowledge Graphs (SKG 2020) -- 2nd Workshop of BI & Big Data Applications (BBIGAP 2020) -- International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2020) -- The 1st International Workshop on Assessing Impact and Merit in Science (AIMinScience 2020) -- Doctoral Consortium. |
| Record Nr. | UNISA-996465452403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium : International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Lyon, France, August 25–27, 2020, Proceedings
| ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium : International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Lyon, France, August 25–27, 2020, Proceedings |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVIII, 370 p. 28 illus.) |
| Disciplina | 005.74 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Database management
Artificial intelligence Application software Computer science Data structures (Computer science) Information theory Database Management Artificial Intelligence Computer and Information Systems Applications Theory of Computation Data Structures and Information Theory |
| ISBN | 3-030-55814-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1st Workshop on Intelligent Data - From Data to Knowledge (DOING 2020) -- 2nd Workshop on Modern Approaches in Data Engineering and Information System Design (MADEISD 2020) -- 1st Workshop on Scientic Knowledge Graphs (SKG 2020) -- 2nd Workshop of BI & Big Data Applications (BBIGAP 2020) -- International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2020) -- The 1st International Workshop on Assessing Impact and Merit in Science (AIMinScience 2020) -- Doctoral Consortium. |
| Record Nr. | UNINA-9910416081603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
| 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 | ||
| ||
Advances in Databases and Information Systems [[electronic resource] ] : 24th European Conference, ADBIS 2020, Lyon, France, August 25–27, 2020, Proceedings / / edited by Jérôme Darmont, Boris Novikov, Robert Wrembel
| Advances in Databases and Information Systems [[electronic resource] ] : 24th European Conference, ADBIS 2020, Lyon, France, August 25–27, 2020, Proceedings / / edited by Jérôme Darmont, Boris Novikov, Robert Wrembel |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XX, 219 p. 134 illus., 26 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Artificial intelligence Computer organization Information storage and retrieval Database Management Information Systems Applications (incl. Internet) Artificial Intelligence Computer Systems Organization and Communication Networks Computer Applications Information Storage and Retrieval |
| ISBN | 3-030-54832-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Extended Abstracts -- Blockchains and Databases: Opportunities and Challenges for the Permissioned and the Permissionless -- Processing Temporal and Time Series Data: Present State and Future Challenges -- Integrating (Very) Heterogeneous Data Sources: a Structured and an Unstructured Perspective -- Data Access and Database Performance -- Upper Bound on the Size of FP-tree -- An Efficient Index for Reachability Queries in Public Transport Networks -- Context-Free Path Querying by Kronecker Product -- Pattern Sampling in Distributed Databases.-Can We Probabilistically Generate Uniformly Distributed Relation Instances Efficiently? -- Machine Learning -- Towards Proximity Graph Auto-Configuration: an Approach Based on Meta-Learning -- Fake News Detection Based on Subjective Opinions -- Improving on Coalitional Prediction Explanation -- Data Processing -- JSON Functionally -- Semantic Web -- Template-Based Multi-Solution for Data-to-Text Generation (on RDF) -- Distributed Tree-Pattern Matching in Big Data Analytics Systems -- Data Analytics -- Iterations and Propensity Score Matching in MonetDB -- The Tell-Tale Cube. |
| Record Nr. | UNISA-996418320803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Databases and Information Systems : 24th European Conference, ADBIS 2020, Lyon, France, August 25–27, 2020, Proceedings / / edited by Jérôme Darmont, Boris Novikov, Robert Wrembel
| Advances in Databases and Information Systems : 24th European Conference, ADBIS 2020, Lyon, France, August 25–27, 2020, Proceedings / / edited by Jérôme Darmont, Boris Novikov, Robert Wrembel |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XX, 219 p. 134 illus., 26 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Artificial intelligence Computer organization Information storage and retrieval Database Management Information Systems Applications (incl. Internet) Artificial Intelligence Computer Systems Organization and Communication Networks Computer Applications Information Storage and Retrieval |
| ISBN | 3-030-54832-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Extended Abstracts -- Blockchains and Databases: Opportunities and Challenges for the Permissioned and the Permissionless -- Processing Temporal and Time Series Data: Present State and Future Challenges -- Integrating (Very) Heterogeneous Data Sources: a Structured and an Unstructured Perspective -- Data Access and Database Performance -- Upper Bound on the Size of FP-tree -- An Efficient Index for Reachability Queries in Public Transport Networks -- Context-Free Path Querying by Kronecker Product -- Pattern Sampling in Distributed Databases.-Can We Probabilistically Generate Uniformly Distributed Relation Instances Efficiently? -- Machine Learning -- Towards Proximity Graph Auto-Configuration: an Approach Based on Meta-Learning -- Fake News Detection Based on Subjective Opinions -- Improving on Coalitional Prediction Explanation -- Data Processing -- JSON Functionally -- Semantic Web -- Template-Based Multi-Solution for Data-to-Text Generation (on RDF) -- Distributed Tree-Pattern Matching in Big Data Analytics Systems -- Data Analytics -- Iterations and Propensity Score Matching in MonetDB -- The Tell-Tale Cube. |
| Record Nr. | UNINA-9910416085303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in databases and information systems / / Tadeusz Morzy, Theo Harder, and Robert Wremble (eds)
| Advances in databases and information systems / / Tadeusz Morzy, Theo Harder, and Robert Wremble (eds) |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin ; ; Heidleberg, : Springer, 2012, c2013 |
| Descrizione fisica | 1 online resource (313 p.) |
| Disciplina |
005.74
005.754 |
| Altri autori (Persone) |
MorzyTadeusz <1954->
HarderTheo WrembelRobert |
| Collana | Advances in intelligent systems and computing |
| Soggetto topico |
Database management
Information technology |
| ISBN |
9781283912266
1283912260 9783642327414 3642327419 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title; Preface; Conference Organization; Contents; Reduction Relaxation in Privacy Preserving Association Rules Mining; Introduction; Related Work; Relaxation; Experimental Evaluation; Conclusions and Future Work; References; Decomposition of Non-deterministic Services for the Purpose of Replication; Introduction; Sources of Non-determinism; Internal Non-determinism; External Requests; Spontaneous Events; Service Decomposition; Conclusions; References; Partitioning Approach to Collocation Pattern Mining in Limited Memory Environment Using Materialized iCPI-Trees; Introduction
Definitions and Problem FormulationiCPI-Tree Materialization; Partitioning Space; Experimental Evaluation; Summary; References; Towards the Automated BusinessModel-Driven Conceptual Database Design; Introduction; Source Business Model; CDM Generator; Experimental Results; Conclusion; References; Aligning Business Process Models and Domain Knowledge: A Meta-modeling Approach; Introduction; State of the Art; The Overall Approach for Semantic Quality Improvement; Identifying Model-Ontology similarities; Evaluating Semantic Quality; Quality Improvement; Ontology and Process Model Meta-models Business Process Meta-modelOntology Meta-model; Mapping Process Model and Ontology Meta-models; Type-Based Mapping Rules; Semantics Based Mapping Rules; Application to the Example; Conclusion; References; Optimization of Object-Oriented Queries through Pushing Selections; Introduction; Main Concepts of the Stack-Based Approach (SBA); Optimization Methods; Conclusions; References; On Parallel Sorting of Data Streams; Introduction; Bobox; Parallel Sorting Algorithm; Results; Conclusion; References; Mining Association Rules from Database Tables with the Instances of Simpson's Paradox IntroductionAssociation Rules; Simpson's Paradox; Problem Statement; Influence of Simpson's Paradox on the Applicability of Association Rules; Context-Aware Selection of Association Rules; Case Studies; Conclusions; References; Synchronization Modeling in Stream Processing; Introduction; Basic Terms; Basic Approach; Estimation of Synchronization Impact; Average Latency; Tests; Conclusions; References; Towards Automated Enterprise Architecture Documentation: Data Quality Aspects of SAP PI; Introduction and Motivation; Related Work SAP PI Data Quality Assessment: Evaluation of the Survey ResultsEffects on the EA Model Quality; Conclusion and Outlook; References; Two-Stage Stochastic View Selection for Data-Analysis Queries; Introduction; Preliminaries; The Two-Stage Stochastic View-Selection Problem; Solving the Problem; Concluding Remarks; References; Choosing Values for Text Fields inWeb Forms; Introduction; Definitions; Related Work; Automatic Filling ofWeb Forms; Experiments; Conclusion and Future Work; References; A Relative Feature Selection Algorithm for Graph Classification; Introduction; Preliminary Related Works |
| Record Nr. | UNINA-9910437914103321 |
| Berlin ; ; Heidleberg, : Springer, 2012, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances on Databases and Information Systems [[electronic resource] ] : 16th East European Conference, ADBIS 2012, Poznan, Poland, September 18-21, 2012, Proceedings / / edited by Tadeusz Morzy, Theo Haerder, Robert Wrembel
| Advances on Databases and Information Systems [[electronic resource] ] : 16th East European Conference, ADBIS 2012, Poznan, Poland, September 18-21, 2012, Proceedings / / edited by Tadeusz Morzy, Theo Haerder, Robert Wrembel |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XVI, 442 p. 143 illus.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Information storage and retrieval Computer communication systems Data mining Management information systems Computer science Database Management Information Systems Applications (incl. Internet) Information Storage and Retrieval Computer Communication Networks Data Mining and Knowledge Discovery Management of Computing and Information Systems |
| ISBN | 3-642-33074-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465842603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big Data Analytics and Knowledge Discovery : 26th International Conference, DaWaK 2024, Naples, Italy, August 26–28, 2024, Proceedings / / edited by Robert Wrembel, Silvia Chiusano, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Big Data Analytics and Knowledge Discovery : 26th International Conference, DaWaK 2024, Naples, Italy, August 26–28, 2024, Proceedings / / edited by Robert Wrembel, Silvia Chiusano, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (409 pages) |
| Disciplina | 005.7 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Statistics
Data mining Information technology - Management Artificial intelligence Data Mining and Knowledge Discovery Computer Application in Administrative Data Processing Artificial Intelligence |
| ISBN |
9783031683237
9783031683220 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Keynote Talks -- Multimodal Deep Learning in Medical Imaging -- Digital Humanism as an Enabler for a Holistic Socio-Technical Approach to the Latest Developments in Computer Science and Artificial Intelligence -- Deep Entity Processing in the Era of Large Language Models: Challenges and Opportunities -- Contents -- Modeling and Design -- LiteSelect: A Lightweight Adaptive Learning Algorithm for Online Index Selection -- 1 Introduction -- 2 The Online Index Selection Problem -- 3 LiteSelect: An Lightweight Online Index Tuner -- 3.1 Algorithm LiteSelect -- 3.2 Fine Tuning LiteSelect -- 4 Experimental Evaluation -- 4.1 Experimental Setup -- 4.2 Parameter Impact Analysis -- 4.3 Index Tuning Performance Comparison -- 5 Related Work -- 6 Conclusion -- References -- IDAGEmb: An Incremental Data Alignment Based on Graph Embedding -- 1 Introduction -- 2 Background -- 2.1 Existing Data Alignment Approaches -- 2.2 Graph Embedding in Representation Learning -- 2.3 Discussion -- 3 Methodology -- 3.1 Research Design -- 3.2 Preliminaries -- 3.3 Adopted Algorithm for IDAGEmb -- 4 Experiments and Results -- 4.1 Experiment Configuration -- 4.2 Experiment #1: Embedding Method Selection -- 4.3 Experiment #2: Comparison with Static Methods (effectiveness and Efficiency) -- 4.4 Experiment #3: Model Sensitivity to Data Order Variation -- 5 Conclusion and Outlook -- References -- Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry -- 1 Introduction and Motivation -- 1.1 Research Questions (RQs) -- 1.2 Structure of Review -- 2 Literature Search Strategy -- 2.1 Quality Assessment Checks -- 2.2 Selection of Primary Studies -- 2.3 Data Synthesis and Analysis Approach -- 3 Reporting the Review -- 3.1 Overview of All Studies -- 3.2 Overview of All Primary Studies.
4 Evaluating the Research Questions -- 5 Discussion and Conclusion -- References -- Entity Matching and Similarity -- MultiMatch: Low-Resource Generalized Entity Matching Using Task-Conditioned Hyperadapters in Multitask Learning -- 1 Introduction -- 2 Background -- 2.1 Problem Formulation -- 2.2 Entity Matching with Single-task Objective Models -- 2.3 Fully Fine-tuning Methods -- 2.4 Parameter-Efficient Fine-tuning Methods -- 2.5 Entity Matching with Parameter-Efficient Multi-task Models -- 3 MultiMatch Training -- 4 Experiments -- 5 Analysis -- 5.1 Single Versus Multiple Objective Models -- 5.2 Task Ablation Experiments -- 6 Conclusions and Future Work -- References -- Embedding-Based Data Matching for Disparate Data Sources -- 1 Context and Main Issues -- 2 Proposed Framework -- 2.1 Problem Statement -- 2.2 Overview -- 3 Experiments -- 3.1 RQ1. Effectiveness and Stability -- 3.2 RQ2. Ablation -- 4 Conclusion -- References -- Subtree Similarity Search Based on Structure and Text -- 1 Introduction -- 2 Problem Definition -- 3 Related Works -- 3.1 Tree Edit Distance -- 3.2 Lower Bounds of Tree Edit Distance -- 3.3 Upper Bounds of Tree Edit Distance -- 3.4 Subtree Similarity Search -- 3.5 Other Related Problems -- 4 Preliminaries -- 5 Proposed Method -- 6 Experiments -- 6.1 Dataset -- 6.2 Methods -- 6.3 Effect of the Recall -- 6.4 Effect of the Document Size -- 6.5 Effect of the Query Size -- 6.6 Accuracy -- 7 Conclusion -- References -- Classification -- Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experimental Evaluations -- 4.1 Data Collection -- 4.2 Experimental Settings -- 4.3 Bootstrapping -- 4.4 Remarks -- 5 Conclusions -- References -- Evaluation of High Sparsity Strategies for Efficient Binary Classification -- 1 Introduction -- 2 Related Work. 3 Materials and Methods -- 4 Results and Discussion -- 5 Conclusions and Future Work -- References -- Incremental SMOTE with Control Coefficient for Classifiers in Data Starved Medical Applications -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 An Incremental Synthetic Data Generation System -- 4 Experiments -- 4.1 Datasets and Experiments Setup -- 4.2 Statistical Analysis -- 4.3 Performance Evaluation on Classifiers -- 5 Conclusions -- References -- Exploring Evaluation Metrics for Binary Classification in Data Analysis: the Worthiness Benchmark Concept -- 1 Introduction and Related Research -- 2 Methodology -- 3 Discussion and Conclusion -- References -- Machine Learning Methods and Applications -- Exploring Causal Chain Identification: Comprehensive Insights from Text and Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 In-Chain Domain Knowledge -- 3.2 CK-CEVAE -- 3.3 Chained Prediction Unit -- 4 Experiments -- 4.1 Chains Acquisition -- 4.2 Domain Detection Model -- 4.3 Models Configurations -- 4.4 Overall Analysis -- 4.5 Ablation Study -- 5 Case Study: Understanding Semantic Continuity in Knowledge Graphs -- 6 Discussion -- 7 Conclusion -- References -- Towards Regional Explanations with Validity Domains for Local Explanations -- 1 Introduction -- 2 Related Work -- 2.1 Explanation Methods -- 2.2 Explanation Evaluation Metrics -- 2.3 Validity Domain of Models -- 3 Toy Example -- 4 Our Proposal -- 4.1 Validity Domain -- 4.2 Model Summary -- 4.3 Evaluation Metrics -- 5 Experiments -- 5.1 Protocol -- 5.2 Evaluation of Methods -- 5.3 Model Summary -- 5.4 Sensitivity Analysis -- 6 Discussion and Limits -- 7 Conclusion and Perspectives -- References -- Analyzing a Decade of Evolution: Trends in Natural Language Processing -- 1 Introduction -- 2 Methodology -- 2.1 PDF Parsing -- 3 Results -- 4 Conclusion. 5 Limitations -- References -- Improving Serendipity for Collaborative Metric Learning Based on Mutual Proximity -- 1 Introduction -- 2 Background -- 2.1 Serendipity -- 2.2 Collaborative Metric Learning (CML) -- 2.3 Mutual Proximity (MP) -- 2.4 Advantages and Originality of the Proposed Method -- 3 Methodology -- 3.1 Learning Embeddings -- 3.2 Searching Embedding Space and Recommending Items -- 4 Experiments -- 4.1 Datasets -- 4.2 Metrics -- 4.3 Results -- 5 Conclusions and Discussion -- References -- Ada2vec: Adaptive Representation Learning for Large-Scale Dynamic Heterogeneous Networks -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 The Ada2vec Framework -- 4.1 Part 1 Dynamic -- 4.2 Part 2 Heterogeneity -- 4.3 Part 3 Change -- 5 Experimental Evaluations -- 5.1 Data -- 5.2 Benchmarks -- 5.3 Classification -- 5.4 Clustering -- 5.5 Performance Analysis -- 6 Conclusion and Future Work -- References -- Differentially-Private Neural Network Training with Private Features and Public Labels -- 1 Introduction -- 2 Background -- 2.1 Differential Privacy -- 2.2 DP-SGD -- 3 Related Work -- 4 Proposed Approach -- 4.1 Sanitization Layer -- 4.2 Bounding Sensitivity and Adding Noise -- 4.3 Design Choices and Tradeoffs -- 5 Experimental Evaluation -- 5.1 Experimental Settings -- 5.2 Results -- 6 Conclusion -- References -- Time Series -- Series2Graph++: Distributed Detection of Correlation Anomalies in Multivariate Time Series -- 1 Introduction -- 2 Related Work -- 3 Series2Graph++ -- 4 Experiments -- 5 Conclusion -- References -- Anomaly Detection from Time Series Under Uncertainty -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Experiments -- 4.1 Uncertainty Quantification Evaluation -- 4.2 Model Performance -- 5 Conclusion -- References -- Comparison of Measures for Characterizing the Difficulty of Time Series Classification. 1 Introduction -- 2 Methodology -- 2.1 Data and Models -- 2.2 Complexity Measures -- 3 Analysis -- 3.1 Correlation Analysis -- 3.2 Relationships Between the Complexity Measures -- 4 Conclusion -- References -- Dynamic Time Warping for Phase Recognition in Tribological Sensor Data -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Dynamic Time Warping (DTW) -- 3.2 Tribological Use Case -- 3.3 Experiments -- 4 Results -- 4.1 Classification of the Whole Wear Phases -- 4.2 Partial Classification of the Wear Phases -- 5 Conclusion -- References -- Data Repositories -- Putting Co-Design-Supporting Data Lakes to the Test: An Evaluation on AEC Case Studies -- 1 Motivation: Data Management in AEC -- 2 ArchIBALD Architecture Development and Definition -- 2.1 Requirement Analysis -- 2.2 Design of the ArchIBALD Architecture -- 3 Scenario-Based Case Studies: Context and Overview -- 3.1 The livMatS Biomimetic Shell -- 3.2 Co-Design of Robotic Prefabrication -- 3.3 Co-Design of End-Effectors for On-Site Assembly -- 3.4 Co-Design of On-Site Planning and Execution -- 4 Evaluation -- 4.1 Case Study 1: Co-Design of Robotic Prefabrication -- 4.2 Case Study 2: Co-Design of End-Effectors -- 4.3 Case Study 3: Co-Design of On-Site Planning and Execution -- 5 Conclusion -- References -- Creating and Querying Data Cubes in Python Using PyCube -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Use Case -- 4.1 Initializing PyCube -- 4.2 Analyzing the Data in the View -- 5 Populating the View -- 5.1 Generating the SQL Query -- 5.2 Converting Result Sets to Dataframes -- 6 Experiments -- 6.1 Experimental Setup -- 6.2 Data Retrieval Speeds -- 6.3 Memory Usage -- 6.4 Code Comparison -- 7 Conclusion and Future Work -- References -- An E-Commerce Benchmark for Evaluating Performance Trade-Offs in Document Stores -- 1 Introduction -- 2 Benchmark Design. 2.1 E-Commerce Application. |
| Record Nr. | UNINA-9910881092203321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big data analytics and knowledge discovery : 24th International Conference, DaWaK 2022, Vienna, Austria, August 22-24, 2022, proceedings / / Robert Wrembel [and four others] editors
| Big data analytics and knowledge discovery : 24th International Conference, DaWaK 2022, Vienna, Austria, August 22-24, 2022, proceedings / / Robert Wrembel [and four others] editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (275 pages) |
| Disciplina | 005.7 |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Big data
Data mining |
| ISBN | 3-031-12670-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996483160003316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
