Results 1 to 10 of about 88,733 (260)

Text intelligent classification model based on improved KNN algorithm in library service transformation

open access: yesSystems and Soft Computing
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
doaj   +1 more source

Information Retrieval Document Classified with K-Nearest Neighbor

open access: yesRecord and Library Journal, 2016
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
doaj   +1 more source

K-Nearest Neighbor and Weight K-Nearest Neighbor Classification of Cork Fish Using Gray-Level-Co-Occurrence Matrix Algorithm Approach

open access: yesJOIV: International Journal on Informatics Visualization
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
doaj   +1 more source

Information Retrieval Document Classified with K-Nearest Neighbor

open access: yesRecord and Library Journal, 2018
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
doaj   +1 more source

Application of Data Mining for Tuberculosis Disease Classification Using K-Nearest Neighbor

open access: yesJurnal Sisfokom
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
doaj   +1 more source

k Nearest Neighbor Search for Location-Dependent Sensor Data in MANETs

open access: yesIEEE 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
doaj   +1 more source

Implementasi Algoritma K-Nearest Neighbor untuk Melakukan Klasifikasi Produk dari beberapa E-marketplace

open access: yesJuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2019
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
doaj   +1 more source

Angle-based Graph Neural Network Method for Anomaly Detection in High Dimensional Data [PDF]

open access: yesJisuanji gongcheng
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
doaj   +1 more source

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