Πλοήγηση ανά Θέμα "K-nearest neighbors"
Αποτελέσματα 1-8 από 8
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Enhancing Sedona (formerly GeoSpark) with Efficient k Nearest Neighbor Join Processing
(2021)Sedona (formerly GeoSpark) is an in-memory cluster computing system for processing large-scale spatial data, which extends the core of Apache Spark to support spatial datatypes, partitioning techniques, indexes, and ... -
GPU-Based Algorithms for Processing the k Nearest-Neighbor Query on Disk-Resident Data
(2021)Algorithms for answering the k Nearest-Neighbor (k-NN) query are widely used for queries in spatial databases and for distance classification of a group of query points against a reference dataset to derive the dominating ... -
An Improved GPU-based Algorithmfor Processing the k Nearest Neighbor Query
(2020)The k Nearest Neighbor (k-NN) query is a common spatial query that appears in several big data applications. We propose and implement a new GPU-based algorithm for the k-NN query, which improves our previous Symmetric ... -
Improving Distance-Join Query processing with Voronoi-Diagram based partitioning in SpatialHadoop
(2020)SpatialHadoop is an extended MapReduce framework supporting global indexing techniques that partition spatial datasets across several machines and improve spatial query processing performance compared to traditional Hadoop ... -
In-memory k nearest neighbor GPU-based query processing
(2020)The k Nearest Neighbor (k-NN) algorithm is widely used for classification in several application domains (medicine, economy, entertainment, etc.). Let a group of query points, for each of which we need to compute the k-NNs ... -
Machine learning approaches for predicting health risk of cyanobacterial blooms in Northern European Lakes
(2020)Cyanobacterial blooms are considered a major threat to global water security with documented impacts on lake ecosystems and public health. Given that cyanobacteria possess highly adaptive traits that favor them to prevail ... -
A Partitioning GPU-based Algorithm for Processing the k Nearest-Neighbor Query
(2020)The k Nearest-Neighbor (k-NN) query is a common spatial query that appears in several big data applications. Typically, GPU devices have much larger numbers of processing cores than CPUs and faster device memory than main ... -
Voronoi-diagram based partitioning for distance join query processing in spatialhadoop
(2018)SpatialHadoop is an extended MapReduce framework supporting global indexing techniques that partition spatial data across several machines and improve query processing performance compared to traditional Hadoop systems. ...