The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.
This, the 54th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains three fully revised and extended papers and two additional extended keynotes selected from the 38th conference on Data Management - Principles, Technologies and Applications, BDA 2022. The topics cover a wide range of timely data management research topics on temporal graph management, tensor-based data mining, time-series prediction, healthcare analytics over knowledge graphs, and explanation of database query answers.
Author(s): Abdelkader Hameurlain
Publisher: Springer
Year: 2023
Language: English
Pages: 142
Preface
Organization
Contents
Clock-G: Temporal Graph Management System
1 Introduction
2 Related Work
2.1 Query Language
2.2 Query Processing
2.3 Storage
3 Formal Definitions
3.1 Time Domain
3.2 Temporal Graph Relation
4 Temporal Graph Query Language
5 Temporal Graph Query Processor
5.1 Temporal Graph Algebra
5.2 Cost Model
5.3 Greedy Plan Selection Algorithm
6 Temporal Graph Storage
6.1 Space and Time Complexity Analysis
7 Overview
8 Evaluation
8.1 Experimental Setup
8.2 Space Usage and Query Evaluation Time of Basic Temporal Queries
8.3 Query Execution Time of Complex Temporal Queries
9 Conclusion
References
TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models
1 Introduction
2 Background
3 Related Work
4 TSPredIT
5 Usage of TSPredIT
6 Features Evaluation
7 Conclusions
References
A Guide to the Tucker Tensor Decomposition for Data Mining: Exploratory Analysis, Clustering and Classification
1 Introduction
2 Background of Tensors
3 From Data Models to Tensors
3.1 Key-Value Model
3.2 Relational and Column Models
3.3 Graph Models
3.4 Time Series
3.5 Images and Videos
4 Tucker Decomposition
4.1 Higher-Order Orthogonal Iteration Algorithm
4.2 Hierarchical Alternating Least Squares Algorithm
4.3 Related Work
5 Data Mining Techniques
5.1 Datasets Overview
5.2 Exploratory Analysis
5.3 Clustering
5.4 Classification
6 Robustness of the Tucker Decomposition
6.1 Clustering
6.2 Classification
6.3 Summary
7 Conclusion
References
Challenges for Healthcare Data Analytics Over Knowledge Graphs
1 Introduction
2 Preliminaries
3 A Pipeline for Data Integration and Knowledge Graphs
4 Data Analytics Over Knowledge Graphs
5 Related Work
6 Conclusions and Future Directions
A Federated SPARQL Queries
B Results Federated Query Engines
References
From Database Repairs to Causality in Databases and Beyond
1 Introduction
2 Background
3 Causal Explanations in Databases
3.1 Causal Responsibility
3.2 The Causal-Effect Score
4 The Database Repair Connection
5 Causes Under Integrity Constraints
6 The Shapley Value in Databases
7 Final Remarks
References
Author Index
