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With the development of the digital age, library services are facing the challenge of fast and accurate text classification. The traditional K-nearest neighbor algorithm is limited by low classification efficiency and high computational complexity when ...
Changjun Wang, Fengxia You, Yu Wang
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Information Retrieval Document Classified with K-Nearest Neighbor
Along with the rapid advancement of technology development led to the amount of information available is also increasingly abundant. The aim of this study was to determine how the implementation of information retrieval system in the classification of ...
Badruz Zaman +2 more
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Ornamental cork fish is a type of fish that is in great demand among the public as an ornamental fish. Ornamental cork fish have various types and colors; each variation has its own name and is a selling point among ornamental cork fish lovers.
Euis Nur Fitriani Dewi +3 more
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Information Retrieval Document Classified with K-Nearest Neighbor
Along with the rapid advancement of technology development led to the amount of information available is also increasingly abundant. The aim of this study was to determine how the implementation of information retrieval system in the classification of ...
Alifian Sukma +2 more
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Application of Data Mining for Tuberculosis Disease Classification Using K-Nearest Neighbor
This study aims to find out how much the application of the K-NN method and the accuracy value obtained by the K-NN method in clarifying data of Tuberculosis patients. This research focuses on improving public health and developing science to help people
Delima Sitanggang +4 more
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k Nearest Neighbor Search for Location-Dependent Sensor Data in MANETs
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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E-marketplace has gained popularity with the Indonesian society resulting in the increment of products offered. Consequently, customers require more effort to search for products. In this study, we classified products from several e-marketplaces.
Danny Sebastian
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Angle-based Graph Neural Network Method for Anomaly Detection in High Dimensional Data [PDF]
In high-dimensional data spaces, most data are located at the edges of the high-dimensional space and distributed sparsely, resulting in the problem of "curse of dimensionality", which makes existing anomaly detection methods unable to ensure ...
Jun WANG, Huixia LAI, Yue WAN, Shi ZHANG
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Detection of Android Malware in the Internet of Things through the K-Nearest Neighbor Algorithm. [PDF]
Babbar H +4 more
europepmc +1 more source
Delving into gene-set multiplex networks facilitated by a k-nearest neighbor-based measure of similarity. [PDF]
Zheng C, Wang M, Yamada R, Okada D.
europepmc +1 more source

