Iraqi Journal for Computers and Informatics http://ijci.uoitc.edu.iq/index.php/ijci <p>Iraqi Journal for Computers and Informatics is an open access ,double-blind peer reviewed, international academic journal published biannual (since 2017). It is institutional journal issued by the University of Information Technology and Communications (UoITC) in Baghdad- Iraq; UoITC is one of governmental universities which established by the Ministry of Higher Education in Iraq. IJCI aims to contribute to the constant scientific research and to provide a sober scientific journal that enriches scholars around the world and it deals with all aspects of computer science.</p> en-US <p>IJCI applies the Creative Commons Attribution (CC BY) license to articles. The author of the submitted paper for publication by IJCI has the CC BY license. Under this Open Access license, the author give an agreement to any author to reuse the article in whole or part for any purpose, even for commercial purposes. Anyone may copy, distribute, or reuse the content as long as the author and original source are properly cited. This facility helps in re-use and ensures that journal content is available for the needs of research.&nbsp;<br>If the manuscript contains photos, images, figures, tables, audio files, videos, etc., that the author or the co-authors do not own, IJCI will require author to provide the journal with proof that the owner of that content has given the author written permission to use it, and the owner has approved that the CC BY license being applied to content. IJCI provides a form that author can use to ask for permission from the owner. If the author does not have owner permission, IJCI will ask author to remove that content and/or replace it with other content that the author own or have such permission to use.&nbsp;<br>Many authors assume that if they previously published a paper through another publisher, they have the rights to reuse that content in their PLOS paper, but that is not necessarily the case – it depends on the license that covers the other paper. Author must ascertain the rights he/she has of a specific license (a license that enables author to use the content). Author must obtain a written permission from the publisher to use the content in IJCI paper. Author should not include any content in her/his IJCI paper without having the rights to use, and always give proper attribution.&nbsp;<br>The accompanying submitted data should be stated with licensing policies, the policies should not be more restrictive than CC BY.&nbsp;<br>IJCI has the right to remove photos, captures, images, figures, tables, illustrations, audio and video files, from a paper before or after publication, if these contents were included in author paper without permission from the owner of the content.&nbsp;</p> editor_ijci@uoitc.edu.iq (Prof. Dr. Safaa O. Al-mamory) ijci@uoitc.edu.iq (Ahmed Jasim) Sat, 08 May 2021 11:33:03 +0000 OJS 3.2.0.3 http://blogs.law.harvard.edu/tech/rss 60 CLASSIFICATION BASED ON SEMI-SUPERVISED LEARNING: A REVIEW http://ijci.uoitc.edu.iq/index.php/ijci/article/view/277 <p><strong>Semi-supervised learning is the class of machine learning that deals with the use of supervised and unsupervised learning to implement the learning process. Conceptually placed between labelled and unlabeled data. In certain cases, it enables the large numbers of unlabeled data required to be utilized in comparison with usually limited collections of labeled data. In standard classification methods in machine learning, only a labeled collection is used to train the classifier. In addition, labelled instances are difficult to acquire since they necessitate the assistance of annotators, who serve in an occupation that is identified by their label. A complete audit without a supervisor is fairly easy to do, but nevertheless represents a significant risk to the enterprise, as there have been few chances to safely experiment with it so far. By utilizing a large number of unsupervised inputs along with the supervised inputs, the semi-supervised learning solves this issue, to create a good training sample. Since semi-supervised learning requires fewer human effort and allows greater precision, both theoretically or in practice, it is of critical interest.</strong></p> Aska Ezadeen Mehyadin , Adnan Mohsin Abdulazeez Copyright (c) 2021 http://creativecommons.org/licenses/by-nc-nd/4.0 http://ijci.uoitc.edu.iq/index.php/ijci/article/view/277 Sat, 08 May 2021 00:00:00 +0000