期刊： DISTRIBUTED AND PARALLEL DATABASES, ; ()
Coronary illness can be treated as one of the major causes for mortality globally. On-time and Precise conclusion on the type of disease is significan......
期刊： DISTRIBUTED AND PARALLEL DATABASES, ; ()
Discovering spatial co-location patterns is a process of finding groups of distinct spatial features whose instances are frequently located together i......
期刊： DISTRIBUTED AND PARALLEL DATABASES, 2020; 38 (3)
Multi-objective spatial keyword query aims to find a set of objects that are reasonably distributed in spatial, with all query objectives to be satisf......
期刊： DISTRIBUTED AND PARALLEL DATABASES, 2020; 38 (3)
The goal of spatio-temporal data mining is to discover previously unknown but useful patterns from the spatial and temporal data. However, explosive g......
期刊： DISTRIBUTED AND PARALLEL DATABASES, 2020; 38 (1)
Process mining can be used to analyze business processes based on logs of their execution. These execution logs are often obtained by querying a datab......
期刊： DISTRIBUTED AND PARALLEL DATABASES, 2020; 38 (1)
Schema matching is a critical step in numerous database applications such as web data sources integrating, data warehouse loading and information exch......
期刊： DISTRIBUTED AND PARALLEL DATABASES, 2020; 38 (1)
Highly-available datastores are widely deployed for Internet-based applications. However, many Internet-based applications are not contented with the ......
期刊： DISTRIBUTED AND PARALLEL DATABASES, 2020; 38 (3)
With the increasing popularity of location-based social networking services, information in social networks has become an important basis for analyzin......
期刊： DISTRIBUTED AND PARALLEL DATABASES, 2020; 38 (3)
Continuous integration (CI) software development practice has become more and more popular. Regression testing occurs very frequently in CI. Test case......
期刊： DISTRIBUTED AND PARALLEL DATABASES, 2020; 38 (3)
Point of interest (POI) recommendation is of great value for both service providers and users. However, it is hard due to data scarcity. To this end, ......
期刊： DISTRIBUTED AND PARALLEL DATABASES, 2020; 38 (4)
GPU has been considered as one of the next-generation platforms for real-time query processing databases. In this paper we empirically demonstrate tha......
期刊： DISTRIBUTED AND PARALLEL DATABASES, 0; ()
Spatial co-location pattern is a subset of spatial features whose instances are frequently located together in geography. Mining co-location patterns ......
期刊： DISTRIBUTED AND PARALLEL DATABASES, 2019; 37 (4)
Differential privacy (DP) is a promising tool for preserving privacy during data publication, as it provides strong theoretical privacy guarantees in ......
期刊： DISTRIBUTED AND PARALLEL DATABASES, 2019; 37 (4)
In the time of big data, on-line analytical processing (OLAP) is an important method to process massive data. In order to realize a system with the ca......
