River is a machine learning library for dynamic data streams and continual learning. It
provides multiple state-of-the-art learning methods, data generators/transformers …

During the last decades, data management and storage have become increasingly
distributed. Advanced query operators, such as skyline queries, are necessary in order to …

Uncertain data have already widely existed in many practical applications recently, such as
sensor networks, RFID networks, location-based services, and mobile object management …

Uncertain data are inherent in some important applications. Although a considerable
amount of research has been dedicated to modeling uncertain data and answering some …

Skyline computation has many applications including multi-criteria decision making. In this
paper, we study the problem of selecting k skyline points so that the number of points, which …

Post-silicon validation is used to identify design errors in silicon. Its main limitation is real-
time observability of the circuit's internal nodes. In this paper, we introduce a novel design …

Deflection data provides important information about the mechanical characteristics and
structural health condition of bridges. The study presented here pertains to development of a …

Given a dataset P and a preference function f, a top-k query retrieves the k tuples in P with
the highest scores according to f. Even though the problem is well-studied in conventional …

Given a set of multidimensional data points, skyline query retrieves a set of data points that
are not dominated by any other points. This query is useful for multi-preference analysis and …

In recent years, the research community introduced various methods for processing skyline
queries in multidimensional databases. The skyline operator retrieves all objects being …