Skyline path queries (SPQs) extend skyline queries to multi-dimensional networks, such as multi-cost road networks (MCRNs). Such queries return a set of non-dominated paths between two given network nodes. Despite the existence of extensive works on ...

With the rapid advancements in medical imaging technologies such as CT, MRI, PET, and ultrasound, these modalities have become pivotal for precise clinical diagnoses and treatment planning. Notably, they facilitate accurate patient evaluations and ...

Core models are well-known cohesive subgraph models for graph analytics that have been extensively studied. These models, including (α, β)-core, (k, l)-core, and k -core, have multiple parameters, which are referred to as multi-dimensional cores. The ...

Many applications require storing, managing, and retrieving complex data, such as multidimensional vectors and images in databases. In this paper, we propose MIGUE-Sim, a system to quickly execute exact Range and kNN similarity queries in Postgres. The ...

Dynamic graphs have been gaining increasing popularity across various application domains. With the growing size of these graphs, the update performance as well as space occupancy is becoming a crucial aspect of dynamic graph storage. Although existing ...

The article analyzes the economic conditions, characteristics and innovative factors of regional innovative development of small and medium-sized businesses (SMEs) in Uzbekistan. The level of economic development of the regions was analyzed using ...

This study delves into the dynamic interplay between digitalization and the regional economic and scientific competencies in fostering the innovative development of small and medium-sized enterprises (SMEs) in Uzbekistan. It critically examines how ...

Outlier detection is an important data mining technique. In this article, the triangle inequality of distances is leveraged to design a pre-cutoff value (PCV) algorithm that calculates the outlier degree pre-threshold without additional distance ...

Temporal graphs are widely used to model movement phenomena in various real-world applications, such as disease spreading, information propagation, and logistics. In particular, the spread of diseases on a people-location network can be effectively ...

Modern memory-optimized indexes often use optimistic locks for concurrent accesses. Read operations can proceed optimistically without taking the lock, greatly improving performance on multicore CPUs. But this is at the cost of robustness against ...

Digital political participation is seen as an important milestone towards more equitable and sustainable development. It is connected to the UN Sustainable Development Goals (SDGs), specifically SDG 16 on Peace, Justice, and Strong Institutions, which ...

Reachability query is a fundamental problem and has been well studied on static graphs. However, in the real world, the graphs are not static but always evolving over time. In this paper, we study the problem of historical reachability query on evolving ...

Indexing structures are widely used in modern data-processing applications to support high-performance queries, and there are a variety of recent designs specifically optimized for the newly available persistent memory (PM). The primary focus of previous ...

Density-based clustering aims to find groups of similar objects (i.e., clusters) in a given dataset. Applications include, e.g., process mining and anomaly detection. It comes with two user parameters (ε, MinPts) that determine the clustering result, but ...

Design and implementation of the system for retrieving information about mathematical formulas – MFIRS. The structure of the system is mainly divided into the modules: input normalization, mathematical formula unification, mathematical formula encoding, ...

Digital political participation increasingly complements analogue forms of political participation. Elements of the political process such as dialogue, consultation, participation as well as voting have received a further digital boost in the COVID-19 ...

High utility pattern mining with negative items (HUPMN) has more practical applications because it can process data with negative utility values. But the existing HUPMN algorithms assume that the database is static and it would be very expensive ...

Entry retrieval-a process to retrieve rows whose field(s) associates with the given key(s)-is one of the core operations in databases. Classical indexes such as B-tree [2, 4] and skip list recursively partition the key space into a hierarchical ...

Unstructured data (e.g., video or text) is now commonly queried by using computationally expensive deep neural networks or human labelers to produce structured information, e.g., object types and positions in video. To accelerate queries, many recent ...

Memory disaggregation architecture physically separates CPU and memory into independent components, which are connected via high-speed RDMA networks, greatly improving resource utilization of databases. However, such an architecture poses unique ...