Document Categorization Engine Based on Machine Learning Techniques

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

doi:10.1109/ICCISci.2019.8716398

Document Categorization Engine Based on Machine Learning Techniques

Jamal Alhiyafi
, Asmaa Alnahwi
, Rawan Alkhurissi
, Masha’er Bayomi
, Manar Bayoumi
, Mona Altassan
, Alaa Alahmadi
, Sunday O. Olatunji
, Ahmed A. Maarouf

Kettering University

Research output: Contribution to conference › Presentation

Abstract

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.

Original language	American English
DOIs	https://doi.org/10.1109/ICCISci.2019.8716398
State	Published - Apr 3 2019
Event	2019 International Conference on Computer and Information Sciences (ICCIS) - Duration: Apr 3 2019 → …

Conference

Conference	2019 International Conference on Computer and Information Sciences (ICCIS)
Period	4/3/19 → …

Disciplines

Computer Sciences

Access to Document

10.1109/ICCISci.2019.8716398License: Unspecified

Cite this

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title = "Document Categorization Engine Based on Machine Learning Techniques",

abstract = " 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. ",

author = "Jamal Alhiyafi and Asmaa Alnahwi and Rawan Alkhurissi and Masha{\textquoteright}er Bayomi and Manar Bayoumi and Mona Altassan and Alaa Alahmadi and Olatunji, \{Sunday O.\} and Maarouf, \{Ahmed A.\}",

note = "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.; 2019 International Conference on Computer and Information Sciences (ICCIS) ; Conference date: 03-04-2019",

year = "2019",

month = apr,

day = "3",

doi = "10.1109/ICCISci.2019.8716398",

language = "American English",

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TY - CONF

T1 - Document Categorization Engine Based on Machine Learning Techniques

AU - Alhiyafi, Jamal

AU - Alnahwi, Asmaa

AU - Alkhurissi, Rawan

AU - Bayomi, Masha’er

AU - Bayoumi, Manar

AU - Altassan, Mona

AU - Alahmadi, Alaa

AU - Olatunji, Sunday O.

AU - Maarouf, Ahmed A.

N1 - 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.

PY - 2019/4/3

Y1 - 2019/4/3

N2 - 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.

AB - 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.

UR - https://ieeexplore.ieee.org/abstract/document/8716398

U2 - 10.1109/ICCISci.2019.8716398

DO - 10.1109/ICCISci.2019.8716398

M3 - Presentation

T2 - 2019 International Conference on Computer and Information Sciences (ICCIS)

Y2 - 3 April 2019

ER -

Document Categorization Engine Based on Machine Learning Techniques

Abstract

Conference

Disciplines

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