8 hasil
Menampilkan 1–8 · 0,06 detik · RSS
Proceedings of the VLDB Endowment
Scopus
ISSN 2150-8097 · Association for Computing Machinery · 8 artikel di indeks
-
Artikel Jurnal Teks lengkap
Decoupled dynamic spatial-temporal graph neural network for traffic forecasting
We all depend on mobility, and vehicular transportation affects the daily lives of most of us. Thus, the ability to forecast the state of traffic in a road network is an important functionality and a challenging task. Traffic data is often obtained from sensors deployed in a road network. Recent…
-
Artikel Jurnal
TranAD
Efficient anomaly detection and diagnosis in multivariate time-series data is of great importance for modern industrial applications. However, building a system that is able to quickly and accurately pinpoint anomalous observations is a challenging problem. This is due to the lack of anomaly…
-
Artikel Jurnal
Anomaly detection in time series
Detecting anomalous subsequences in time series data is an important task in areas ranging from manufacturing processes over finance applications to health care monitoring. An anomaly can indicate important events, such as production faults, delivery bottlenecks, system defects, or heart flicker…
-
Artikel Jurnal Teks lengkap
A comprehensive survey and experimental comparison of graph-based approximate nearest neighbor search
Approximate nearest neighbor search (ANNS) constitutes an important operation in a multitude of applications, including recommendation systems, information retrieval, and pattern recognition. In the past decade, graph-based ANNS algorithms have been the leading paradigm in this domain, with dozens…
-
Artikel Jurnal Teks lengkap
Deep entity matching with pre-trained language models
We present Ditto, a novel entity matching system based on pre-trained Transformer-based language models. We fine-tune and cast EM as a sequence-pair classification problem to leverage such models with a simple architecture. Our experiments show that a straight-forward application of language models…
-
Artikel Jurnal Teks lengkap
The PGM-index
We present the first learned index that supports predecessor, range queries and updates within provably efficient time and space bounds in the worst case. In the (static) context of just predecessor and range queries these bounds turn out to be optimal. We call this learned index the Piecewise…
-
Artikel Jurnal Teks lengkap
A benchmarking study of embedding-based entity alignment for knowledge graphs
Entity alignment seeks to find entities in different knowledge graphs (KGs) that refer to the same real-world object. Recent advancement in KG embedding impels the advent of embedding-based entity alignment, which encodes entities in a continuous embedding space and measures entity similarities…
-
Artikel Jurnal Teks lengkap
Delta lake
Cloud object stores such as Amazon S3 are some of the largest and most cost-effective storage systems on the planet, making them an attractive target to store large data warehouses and data lakes. Unfortunately, their implementation as key-value stores makes it difficult to achieve ACID…