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Information Retrieval Document Classification with K-Nearest Neighbor
Record and Library Journal
View Archive Info| Field | Value | |
| Title |
Information Retrieval Document Classification with K-Nearest Neighbor
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| Creator |
Sukma, Alifian
Zaman, Badruz Purwanti, Endah |
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| Subject |
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Information Retrieval System, similarity, cosinus, k-Nearest Neighbor, Document Classification. information studies |
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| Description |
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 the journal by using the cosine similarity and K-Nearest Neighbor (KNN).The data used as many as 160 documents with categories such as Physical Sciences and Engineering, Life Science, Health Science, and Social Sciences and Humanities. Construction stage begins with the use of text mining processing, the weighting of each token by using the term frequency-inverse document frequency (TF-IDF), calculate the degree of similarity of each document by using the cosine similarity and classification using k-Nearest Neighbor.Evaluation is done by using the testing documents as much as 20 documents, with a value of k = {37, 41, 43}. Evaluation system shows the level of success in classifying documents on the value of k = 43 with a value precision of 0501. System test results showed that 20 document testing used can be classified according to the actual category
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| Publisher |
D3 Teknisi Perpustakaan Fakultas Vokasi Universitas Airlangga
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| Contributor |
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| Date |
2018-01-02
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article — |
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| Format |
application/pdf
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| Identifier |
https://e-journal.unair.ac.id/RLJ/article/view/7077
10.20473/rlj.V1-I2.2015.129-138 |
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| Source |
Record and Library Journal; Vol 1, No 2 (2015); 129-138
2442-5168 |
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| Language |
eng
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| Relation |
https://e-journal.unair.ac.id/RLJ/article/view/7077/4334
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| Coverage |
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| Rights |
Copyright (c) 2018 Record and Library Journal
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