Document Categorization Engine Based on Machine Learning Techniques

Jamal A Alhiyafi; Asmaa Alnahwi; Rawan Alkhurissi; Masharer Bayomi; Manar Bayoumi; Mona Altassan; Alaa Alahmadi; Sunday O Olatunji; Ahmed A Maarouf

Conference proceeding

Document Categorization Engine Based on Machine Learning Techniques

Jamal A Alhiyafi, Asmaa Alnahwi, Rawan Alkhurissi, Masharer Bayomi, Manar Bayoumi, Mona Altassan, Alaa Alahmadi, Sunday O Olatunji and Ahmed A Maarouf

The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.1

01/01/2019

Abstract

Artificial intelligence

Classification

Data mining

Machine learning

Neural networks

Conference Title: 2019 International Conference on Computer and Information Sciences (ICCIS) Conference Start Date: 2019, April 3 Conference End Date: 2019, April 4 Conference Location: Sakaka, Saudi Arabia Analysts, researchers, and other users from different fields may spend a lot of time recognizing their work-related documents and organizing them in a way that allows them to make the best use of their content. In this regard, we propose a Document Categorization Engine (DCE) that utilizes concepts of machine learning techniques and data mining. The project aims to develop a system that is capable of classifying documents based on user defined criteria.

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Title: Document Categorization Engine Based on Machine Learning Techniques
Creators - without role: Jamal A Alhiyafi
Asmaa Alnahwi
Rawan Alkhurissi
Masharer Bayomi
Manar Bayoumi
Mona Altassan
Alaa Alahmadi
Sunday O Olatunji
Ahmed A Maarouf
Publication Details: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.1
Publisher: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Identifiers: 9914521908331
Academic Unit: Imam Abdulrahman Bin Faisal University; Taibah University
Language: English
Resource Type: Conference proceeding