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The problem of maximizing bichromatic reverse k nearest neighbor queries (BRkNN) has been extensively studied in spatial databases. In this work, we present a related query for sp...
Farhana Murtaza Choudhury, J. Shane Culpepper, Tim...
This paper introduces a dynamic graph partitioning algorithm, designed for large, constantly changing graphs. We propose a partitioning framework that adjusts on the fly as the g...
Since regular expressions are often used to detect errors in sequences such as strings or date, it is natural to use them for data repair. Motivated by this, we propose a data rep...
Set queries are fundamental operations in computer systems and applications. This paper addresses the fundamental problem of designing a probabilistic data structure that can quic...
Tong Yang, Alex X. Liu, Muhammad Shahzad, Yuankun ...
The advent of semantic data on the Web requires efficient reasoning systems to infer RDF and OWL data. The linked nature and the huge volume of data entail efficiency and scalabil...
Increasingly large Knowledge Bases are being created, by crawling the Web or other corpora of documents, and by extracting facts and relations using machine learning techniques. T...
The Optimistic Concurrency Control (OCC) method has been commonly used for in-memory databases to ensure transaction serializability — a transaction will be aborted if its read ...
The chase is a well-known algorithm with a wide range of applications in data exchange, data cleaning, data integration, query optimization, and ontological reasoning. Since the c...
Marco Calautti, Sergio Greco, Cristian Molinaro, I...
Pioneered by Google’s Pregel, many distributed systems have been developed for large-scale graph analytics. These systems employ a user-friendly “think like a vertex” progra...
Traditional database queries follow a simple model: they define constraints that each tuple in the result must satisfy. This model is computationally efficient, as the database ...
Matteo Brucato, Juan Felipe Beltran, Azza Abouzied...