A Proposed Class Labeling Approach: From Unsupervised to Supervised Learning-Reference-Cited by-同舟云学术

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A Proposed Class Labeling Approach: From Unsupervised to Supervised Learning

Published:2022-09-07 Issue: Volume: Page:
ISSN:
Container-title:2022 Iraqi International Conference on Communication and Information Technologies (IICCIT)
language:
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Author:

Alshaibanee Aseel Faisal¹,AlJanabi Kadhim B. S.¹

Affiliation:

1. University of Kufa,Faculty of CS and Mathematics,Department of Computer Science,Kufa,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009910/10009912/10010551.pdf?arnumber=10010551

Reference22 articles.

1. Analysis and Prediction of Crimes by Clustering and Classification

2. Cascading k-means clustering and k-nearest neighbor classifier for categorization of diabetic patients;karegowda;International Journal of Engineering and Advanced Technology (IJEAT),2012

3. Combining clustering with classification: a technique to improve classification accuracy;alapati;International Journal of Computer Science Engineering (IJCSE),2016

4. Improving Classification Accuracy Using Clustering Technique

5. Data preprocessing for supervised leaning;kotsiantis;International Journal of Computer Science,2006

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Clustering as a Catalyst for Big Data Classification (CC-BC);2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13

2. An Empirical Study of Intrusion Detection by Combining Clustering and Classification Methods;Communications in Computer and Information Science;2023

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