Results 11 to 20 of about 20,029 (299)
Spatial Indexing for Scalability in FCA
Lecture Notes in Computer Science, 2006 The paper provides evidence that spatial indexing structures offer faster resolution of Formal Concept Analysis queries than B-Tree/Hash methods. We show that many Formal Concept Analysis operations, computing the contingent and extent sizes as well as listing the matching objects, enjoy improved performance with the use of spatial indexing structures ...
Peter Eklund, Eklund Peter
exaly +7 more sources
Spatial Indexing for Data Searching in Mobile Sensing Environments [PDF]
Sensors, 2017 Data searching and retrieval is one of the fundamental functionalities in many Web of Things applications, which need to collect, process and analyze huge amounts of sensor stream data.
Yuchao Zhou +4 more
doaj +4 more sources
Fair Spatial Indexing: A paradigm for Group Spatial Fairness [PDF]
Advances in database technology : proceedings. International Conference on Extending Database Technology, 2023 Machine learning (ML) is playing an increasing role in decision-making tasks that directly affect individuals, e.g., loan approvals, or job applicant screening. Significant concerns arise that, without special provisions, individuals from under-privileged backgrounds may not get equitable access to services and opportunities.
Sina Shaham +2 more
openaire +4 more sources
DB-LIO: Database-Driven LiDAR–Inertial Odometry for Memory-Bounded Persistent Mapping [PDF]
SensorsThis paper proposes DB-LIO (database-driven LiDAR-inertial odometry), a simultaneous localization and mapping (SLAM) system that addresses memory scalability challenges in extended autonomous operation.
Hun-Hee Kim +3 more
doaj +2 more sources
Indexing and partitioning the spatial linear model for large data sets.
PLoS ONE, 2023 We consider four main goals when fitting spatial linear models: 1) estimating covariance parameters, 2) estimating fixed effects, 3) kriging (making point predictions), and 4) block-kriging (predicting the average value over a region).
Jay M Ver Hoef +4 more
doaj +3 more sources
Sensors, 2018 With the rapid development of mobile devices and sensors, effective searching methods for big spatial data have recently received a significant amount of attention.
Bumjoon Jo, Sungwon Jung
doaj +3 more sources
Efficient Management of High-Frequency Sensor Data Streams Using a Read-Optimized Learned Index [PDF]
SensorsThe rapid growth of sensor data in IoT and Digital Twins necessitates high-performance spatial indexing. Traditional indexes like Rtrees suffer from high storage overhead, while state-of-the-art learned indexes like GLIN encounter a “Refinement ...
Hu Luo +7 more
doaj +2 more sources
Super-resolved trajectory-derived nanoclustering analysis using spatiotemporal indexing
Nature Communications, 2023 Single-molecule localization microscopy techniques are emerging as vital tools to unravel the nanoscale world of living cells by understanding the spatiotemporal organization of protein clusters at the nanometer scale.
Tristan P. Wallis +11 more
doaj +1 more source
IEEE Transactions on Knowledge and Data Engineering, 2003 Efficient processing of spatial joins is very important due to their high cost and frequent application in spatial databases and other areas involving multidimensional data. This paper proposes slot index spatial join (SISJ), an algorithm that joins a nonindexed data set with one indexed by an R-tree.
N. Mamoulis (Nikos), D. Papadias
openaire +4 more sources
QRB-tree Indexing: Optimized Spatial Index Expanding upon the QR-tree Index
ISPRS International Journal of Geo-Information, 2021 Support for region queries is crucial in geographic information systems, which process exact queries through spatial indexing to filter features and subsequently refine the selection.
Jieqing Yu, Yi Wei, Qi Chu, Lixin Wu
doaj +1 more source