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A PID-Based kNN Query Processing Algorithm for Spatial Data [PDF]
Sensors, 2022 As a popular spatial operation, the k-Nearest Neighbors (kNN) query is widely used in various spatial application systems. How to efficiently process a kNN query on spatial big data has always been an important research topic in the field of spatial data
Baiyou Qiao, Linlin Chen, Qiao Baiyou
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Processing KNN Queries in Grid-Based Sensor Networks [PDF]
Algorithms, 2014 Recently, developing efficient processing techniques in spatio-temporal databases has been a much discussed topic. Many applications, such as mobile information systems, traffic control system, and geographical information systems, can benefit from ...
Yuan-Ko Huang
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Secure K-Nearest neighbor queries in two-tiered mobile wireless sensor networks
Digital Communications and Networks, 2021 Tiered Mobile Wireless Sensor Network(TMWSN) is a new paradigm introduced by mobile edge computing. Now it has received wide attention because of its high scalability, robustness, deployment flexibility, and it has a wide range of application scenarios ...
Lihong Fan +4 more
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A KNN Dynamic Extended Query Strategy Based on GPU [PDF]
Jisuanji gongcheng, 2018 Traditional Graphics Processing Unit(GPU) executing PGrid index K-Nearest Neighbor(KNN) query method has problems such as large query granularity,redundant calculation,and unstable performance.Therefore,facing spatial KNN relation queries,a KNN query ...
TANG Jia,GONG Yili,LI Wenhai
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Authentication of moving kNN queries [PDF]
2011 IEEE 27th International Conference on Data Engineering, 2011 A moving kNN query continuously reports the k nearest neighbors of a moving query point. In addition to the query result, a service provider that evaluates moving queries often returns mobile clients a safe region that bounds the validity of query results to minimize the communication cost between the two parties.
Man Lung Yiu, Eric Lo 0001, Duncan Yung
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A new locally adaptive K-nearest centroid neighbor classification based on the average distance
Connection Science, 2022 The classification performance of a k-nearest neighbour (KNN) method is dependent on the choice of the k neighbours of a query. However, it is difficult to optimise the performance of KNN by choosing appropriate neighbours and an appropriate value of k ...
Benqiang Wang, Shunxiang Zhang
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Spatial queries with two kNN predicates [PDF]
Proceedings of the VLDB Endowment, 2012 The widespread use of location-aware devices has led to countless location-based services in which a user query can be arbitrarily complex, i.e., one that embeds multiple spatial selection and join predicates. Amongst these predicates, the k -Nearest-Neighbor ( k NN) predicate stands as one ...
Aly, Ahmed +2 more
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IEEE Access, 2020 Cloud services with powerful resources are popularly used to manage exponentially increasing data and to carry out data mining to analyze the data. However, a data mining involving query can cause privacy problems by disclosing both the data and the ...
Jeongsu Park, Dong Hoon Lee
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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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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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