Summary

More than seventeen years in Baghdad university – college of science – Dept. of computer. familiar with programming language such as (C , C++ , Pascal , Visual Basic , HTML , Java , Python)

Qualifications
  • familiar with programming language such as (C , C++ , Pascal , Visual Basic , HTML , Java , Python)
  • familiar wih using Microsoft Windows
  • familiar with using Microsoft Office
Responsibility

Programmer Assistant in C++ programming laboratory (first class) Programmer Assistant in Web Application laboratory (Second class) Programmer Assistant in visual programming (second class) Programmer Assistant in security laboratory (fourth class) Programmer Assistant in Data Mining laboratory (fourth class)

Awards and Memberships

Not Exist

Research Interests

Data Mining - Information Retieval - Bioinformatics

Academic Area

Iraq - Baghdad

Teaching materials
Material
College
Department
Stage
Download
Visual Programming
كلية العلوم
الحاسوب
Stage 2
Programming Techniques
كلية العلوم
الحاسوب
Stage 2
Teaching

Doctora Student in Almustansiriyah University

Supervision

Not Exist

Publication Date
Thu Jul 01 2021
Applying Similarity Measures to Improve Query Expansion
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The huge evolving in the information technologies, especially in the few last decades, has produced an increase in the volume of data on the World Wide Web, which is still growing significantly. Retrieving the relevant information on the Internet or any data source with a query created by a few words has become a big challenge. To override this, query expansion (QE) has an important function in improving the information retrieval (IR), where the original query of user is recreated to a new query by appending new related terms with the same importance. One of the problems of query expansion is the choosing of suitable terms. This problem leads to another challenge of how to retrieve the important documents with high precision, high recall

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Scopus (1)
Crossref (1)
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Publication Date
Tue Jul 31 2018
Journal Name
Journal Of Theoretical And Applied Information Technology
Classification and monitoring of autism using svm and vmcm
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Autism is a lifelong developmental deficit that affects how people perceive the world and interact with each others. An estimated one in more than 100 people has autism. Autism affects almost four times as many boys than girls. The commonly used tools for analyzing the dataset of autism are FMRI, EEG, and more recently "eye tracking". A preliminary study on eye tracking trajectories of patients studied, showed a rudimentary statistical analysis (principal component analysis) provides interesting results on the statistical parameters that are studied such as the time spent in a region of interest. Another study, involving tools from Euclidean geometry and non-Euclidean, the trajectory of eye patients also showed interesting results. In this

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Scopus (3)
Scopus
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