Results 11 to 20 of about 4,847 (258)
Medical Health Big Data Classification Based on KNN Classification Algorithm
IEEE Access, 2020 The rapid development of information technology has led to the development of medical informatization in the direction of intelligence. Medical health big data provides a basic data resource guarantee for medical service intelligence and smart healthcare.
Wenchao Xing, Yilin Bei
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IEEE Access, 2023 The proliferation of current and next-generation mobile and sensing devices has increased at an alarming rate. With these state-of-the-art devices, the global positioning system (GPS) has made remote sensing and location tracking more viable.
Aavash Bhandari +4 more
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k Nearest Neighbor Search for Location-Dependent Sensor Data in MANETs
IEEE Access, 2015 K nearest neighbor (kNN) queries, which retrieve the k nearest sensor data items associated with a location (location-dependent sensor data) from the location of the query issuer, are useful for location-based services in mobile environments.
Yuka Komai +3 more
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PLoS ONE, 2022 With the development of cloud computing, interest in database outsourcing has recently increased. In cloud computing, it is necessary to protect the sensitive information of data owners and authorized users.
Yong-Ki Kim +3 more
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Batik Images Retrieval Using Pre-trained model and K-Nearest Neighbor
JOIV: International Journal on Informatics Visualization, 2023 Batik is an Indonesian cultural heritage that should be preserved. Over time, many batik motifs have sprung up, which can lead to mutual claims between craftsmen.
Agus Eko Minarno +2 more
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BDMCA: a big data management system for Chinese auditing [PDF]
PeerJ Computer Science, 2023 The advent of big data technologies makes a profound impact on various facets of our lives, which also presents an opportunity for Chinese audits. However, the heterogeneity of multi-source audit data, the intricacy of converting Chinese into SQL, and ...
Xiaoping Zhou +4 more
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Indexing complex networks for fast attributed kNN queries
Social Network Analysis and Mining, 2022 AbstractThe k nearest neighbor (kNN) query is an essential graph data-management tool used for finding relevant data entities suited to a user-specified query node. Graph indexing methods have the potential to achieve a quick kNN search response and thus are promising approaches. However, they struggle to handle large-scale attributed complex networks.
Suomi Kobayashi +2 more
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Efficient k-Nearest Neighbor Classification Over Semantically Secure Hybrid Encrypted Cloud Database
IEEE Access, 2018 Nowadays, individuals and companies increasingly tend to outsource their databases and further data operations to cloud service provides. However, utilizing the cost-saving advantages of cloud computing brings about the risk of violating database ...
Wei Wu +4 more
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CPRQ: Cost Prediction for Range Queries in Moving Object Databases
ISPRS International Journal of Geo-Information, 2021 Predicting query cost plays an important role in moving object databases. Accurate predictions help database administrators effectively schedule workloads and achieve optimal resource allocation strategies.
Shengnan Guo, Jianqiu Xu
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Sparse Coefficient-Based ${k}$ -Nearest Neighbor Classification
IEEE Access, 2017 K-nearest neighbor rule (KNN) and sparse representation (SR) are widely used algorithms in pattern classification. In this paper, we propose two new nearest neighbor classification methods, in which the novel weighted voting methods are developed for ...
Hongxing Ma +4 more
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