Results 21 to 30 of about 4,847 (258)
Distributed Similarity Queries in Metric Spaces
Data Science and Engineering, 2019 Similarity queries, including range queries and k nearest neighbor (kNN) queries, in metric spaces have applications in many areas such as multimedia retrieval, computational biology and location-based services.
Keyu Yang +5 more
doaj +1 more source
A Bonferroni Mean Based Fuzzy K Nearest Centroid Neighbor Classifier
Jurnal Ilmu Komputer dan Informasi, 2021 K-nearest neighbor (KNN) is an effective nonparametric classifier that determines the neighbors of a point based only on distance proximity. The classification performance of KNN is disadvantaged by the presence of outliers in small sample size datasets ...
Arya Widyadhana +3 more
doaj +1 more source
QML: a hybrid spatial index structure
Tongxin xuebao, 2021 In order to enrich the functionalities of existing learned multidimensional indexes and improve the efficiency， the dynamic data segmentation algorithm DDSA was proposed， which could preserve the data distribution characteristics.A hybrid spatial index ...
Dong CUI +3 more
doaj +2 more sources
A multi-voter multi-commission nearest neighbor classifier
Journal of King Saud University: Computer and Information Sciences, 2022 Many improved versions of k-nearest neighbor (KNN) have been proposed by minimizing total distances of multi k nearest neighbors (multi-voter) in each class instead of the majority voting, such as a local mean-based pseudo nearest neighbor (LMPNN) that ...
Suyanto Suyanto +3 more
doaj +1 more source
Probabilistic CkNN Queries of Uncertain Data in Large Road Networks
IEEE Access, 2016 Continuous k-nearest neighbor (CkNN) query processing is an important issue in spatial temporal databases. In real-world scenarios, query clients and data objects may move with uncertain speeds on the road networks, which makes retrieving the exact CkNN ...
Yanhong Li +4 more
doaj +1 more source
kNN Query Processing in Metric Spaces Using GPUs [PDF]
, 2011 Information retrieval from large databases is becoming crucial for many applications in different fields such as content searching in multimedia objects, text retrieval or computational biology. These databases are usually indexed off-line to enable an acceleration of on-line searches.
Ricardo J. Barrientos +4 more
openaire +1 more source
A Novel Index Method for K Nearest Object Query over Time-Dependent Road Networks
Complexity, 2019 K nearest neighbor (kNN) search is an important problem in location-based services (LBS) and has been well studied on static road networks. However, in real world, road networks are often time-dependent; i.e., the time for traveling through a road ...
Yajun Yang +5 more
doaj +1 more source
Hierarchical Quadrant Spatial LSM Tree for Indexing Blockchain-Based Geospatial Point Data
IEEE Access, 2023 Blockchain technology is attracting attention for its high usability in various fields such as IoT and healthcare, and it is being used as an alternative to distributed databases.
Junghyun Lee +3 more
doaj +1 more source
Explainable human‐in‐the‐loop healthcare image information quality assessment and selection
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Smart healthcare applications cannot be separated from healthcare data analysis and the interactive interpretability between data and model. A human‐in‐the‐loop active learning approach is introduced to reduce the cost of healthcare data labelling by evaluating the information quality of unlabelled medical data and then screening the high ...
Yang Li, Sezai Ercisli
wiley +1 more source
Robust K nearest neighbor query processing algorithm in wireless sensor networks
Tongxin xuebao, 2010 A robust K nearest neighbor query processing algorithm called ROC-KNN was proposed.It divides the query region into several sub-regions according the network topology.Each sub-region has a cluster node which collects the sensory data in it,sends it to ...
LIU Liang +3 more
doaj +2 more sources