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محمود شاكر حمودي الحسيناويVerified

Mahmood Shakir Hammoodi

Assistant ProfessorUniversity of Babylon

15

Scholar Pubs

128

Scholar Citations

7

h-index

Google Scholar(15)

Personal information

Arabic Name
محمود شاكر حمودي الحسيناوي
English Name
Mahmood Shakir Hammoodi
Date of birth
1976-08-03
The academic title
Assistant Professor
Certificate
Doctorate
General Specialization
Specific Specialization
Email
pre.mahmood.shakir@uobabylon.edu.iq
Phones
07725572892

Researcher's Scientific Achievements

The number of research papers

Google Scholar
15
Scopus
0

Citations number

Google Scholar
128
Scopus
0

H-Index

Google Scholar
7
Scopus
0

Profile Views

Total Views
121

Education

Certificate

Doctorate
University name:University of Reading
Country:United Kingdom of Great Britain and Northern Ireland
Date of obtaining:2019-02-19

Academic titles

Assistant Professor
Date of obtaining:2023-06-06

Publications

15

A proposed approach to discover nearest users on social media networks based on users' profiles and preferences

Bulletin of Electrical Engineering and Informatics 12 (4), 2464-2473, 2023
2023

Using Socio-Demographic Information in Predicting Students' Degree Completion based on a Dynamic Model

International Journal of Intelligent Engineering and Systems 15 (2), 107-115, 2022
2022Cited by 1

The Waikato open source frameworks (WEKA and MOA) for machine learning techniques

Journal of Physics: Conference Series 1804 (1), 012133, 2021
2021Cited by 8

Real-time pre-processing technique for drift detection, feature tracking, and feature selection using adaptive micro-clusters for data stream classification

University of Reading, 2018
2018Cited by 1

Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining

Knowledge-Based Systems 161, 205-239, 2018
2018Cited by 35

Towards real-time feature tracking technique using adaptive micro-clusters

Proceedings of the BCS SGAI Workshop on Data Stream Mining Techniques and …, 2016
2016Cited by 2

Towards online concept drift detection with feature selection for data stream classification

 

2016Cited by 7

Web classification based features extracted and K-NN algorithm

British Journal of Science 8 (2), 2013
2013

Extracting Information from Semi-Structured Web Pages by Considering User's Context.

IKE, 134-139, 2010
2010

A Framework for Extracting Information from Semi- Structured Web Data Sources

Chapter in Book, 426, 2010
2010

A strategy for extracting information from semi‐structured web pages

International Journal of Web Information Systems 6 (4), 304-318, 2010
2010Cited by 1

A Framework for Extracting, Classifying, Analyzing, and Presenting Information from Semi-Structured Web Data Sources.

J. Next Gener. Inf. Technol. 1 (3), 106-114, 2010
2010Cited by 4

Information extraction from web tables

Proceedings of the 11th international conference on information integration …, 2009
2009Cited by 7

Information extraction from hypertext mark-up language web pages

Journal of Computer Science 5 (8), 596, 2009
2009Cited by 11

A framework for extracting information from semi-structured web data sources

2008 Third International Conference on Convergence and Hybrid Information …, 2008
2008Cited by 14