Faten Kharbat

Faten Kharbat
Al Ain University · Faculty of Engineering

PhD

About

32
Publications
24,511
Reads
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222
Citations
Citations since 2017
16 Research Items
147 Citations
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20172018201920202021202220230102030405060
20172018201920202021202220230102030405060
Introduction
I had my PhD from University of the West of England, UK. My research interest includes applying data mining techniques to different business fields, health sector, learning aspects,...etc. Also, I am interesting in Cancer Care Informatics and using technology in Education.
Additional affiliations
June 2016 - present
Al Ain University
Position
  • Head of Faculty
July 2014 - present
Al Ain University
Position
  • Professor (Associate)
September 2012 - July 2014
Al Ain University
Position
  • Professor (Assistant)
Education
October 2002 - July 2006
University of the West of England, Bristol
Field of study
  • Artificial intelligence
September 1998 - June 2001
University of Jordan
Field of study
  • Computer Science

Publications

Publications (32)
Conference Paper
Full-text available
Abstract: Web-based applications are becoming the tools of our modern digital age of globalization in all aspects, which forces higher education institutes to deploy web-based electronic systems to enhance the quality of their academic processes. Peer reviewed journals published by academic institutes and universities are essential in assessing the...
Chapter
Full-text available
This chapter has presented a new approach to develop certain domain ontology. The proposed approach has integrated different data mining techniques to assist in developing a
Article
Full-text available
Abstract: This paper reports on the development of a new hybrid architecture that integrates Learning Classifier Systems (LCS) with Rete-based Production Systems Inference Engine to improve the performance of the process of compacting LCS generated rules. While LCS is responsible for generating a complete ruleset from a given breast cancer patholog...
Article
Full-text available
The present paper focuses on providing an in-depth understanding of the concept of agility and its uses in the software development projects. The paper also explains the key issues experienced by large companies while implementing agility practices and frameworks in the large-scale software development projects. The paper also develops key ideas ab...
Article
Full-text available
Wavelet family and differential evolution are proposed for categorization of epilepsy cases based on electroencephalogram (EEG) signals. Discrete wavelet transform is widely used in feature extraction step because it efficiently works in this field, as confirmed by the results of previous studies. The feature selection step is used to minimize dime...
Article
Full-text available
Recently, accounting academics have reported increased attention in the accounting profession toward the employment of various technologies. These studies only highlight the exploitation of these technologies in the profession and areas for future research, while missing the need for modernizing the accounting curriculum to meet the industry's tech...
Chapter
In UAE, environmental issues are considered as very crucial at all levels. This study attempts to analyze the current data available on the Ozone Layer in UAE via different data mining techniques. The study aims at giving a general idea about the Ozone Layer in UAE and generates some general rules that will help maintaining the future of Ground Ozo...
Article
Presents information on various MTTS Society chapters.
Conference Paper
This project focuses on the first part of the knowledge management definition, expressly the process of creating knowledge. It explores the relationship between knowledge creation with the perception of improving productivity and collaboration. Also, the project addresses the preferences toward one or more knowledge creation forms in improving prod...
Article
Full-text available
Effective internal communication is crucial for organisations' success as it affects the ability of strategic managers to engage employees and achieve objectives. At the end of year 2013, over 90% of Fortune 500 companies had partially or fully implemented an enterprise social network within their organisation (Fee, 2013). As the knowledge shared o...
Article
Full-text available
In today's world, many modern health facilities have started using e-health with the aim of improving health services by managing its costs, patient waiting time, and other services. Nevertheless, there are numerous studies exploring the barriers to e-health adoption. Concentrating on innovation in the healthcare industry, the present study explore...
Chapter
A large amount of decision support systems for different management areas exist. Literature on decision systems supporting environmental management in particular is relatively limited. Given this evolving research field, the goal and purpose of this paper is to explore the scientific research in international scientific journals that focus on decis...
Article
This paper discusses the extent of success that Jordanian government has achieved through implementing the electronic taxation declaration system. It also addresses the elements of success that the government should implement the project to ensure its application. This paper is an endeavor to highlight the pros and cons for the current Jordanian el...
Article
Full-text available
This research aims to mine the relationship between demographic variables and brand associations, and study the relative importance of these variables. The study is conducted on the fast-food restaurant brands chains in Jordan. The result ranks and evaluates the demographic variables in relation with the brand associations for the selected sample....
Article
Usually, accurate translation process needs external information to help generating the accurate result of the target text. That is, analyzing the input sequence in order to determine its grammatical structure with respect to the given formal grammar which is called the parsing procedure (Bataineh & Bataine, 2009). The main idea of the proposed arc...
Article
This paper introduces a new compaction algorithm for the rules generated by learning classifier systems that overcomes the disadvantages of previous algorithms in complexity, compacted solution size, accuracy and usability. The algorithm is tested on a Wisconsin Breast Cancer Dataset (WBC) which is a well well-known breast cancer datasets from the...
Conference Paper
Full-text available
يعتبر قطاع التعليم العالي من القطاعات الحيوية الفاعلة التي تساهم في نمو الاقتصاد وتنمية الموارد البشرية، وقد دفعت ظاهرة العولمة وسياسة الانفتاح الإقتصادي العديد من الدول المتقدمة للتركيز على تطبيق مفاهيم الجودة والتميز لضمان المخرجات وتحسين مستوى الخدمات وخاصة في المؤسسات الأكاديمية. لقد أصبح بناء الإنسان هو رأس المال الحقيقي في عصر العولمة والمعلو...
Article
Full-text available
From the fact that ontologies can help in making sense of huge amount of content, this paper proposes a case study for building ontology via set of rules generated by rule-based learning system. The proposed algorithm utilises the extracted and representative rules generated from the original dataset in developing ontology elements. The proposed al...
Chapter
Full-text available
In this chapter we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a primary breast cancer data set. Our results indicate more effective knowledge discovery than with C4.5.
Article
Full-text available
From the fact that ontologies can help in making sense of huge amount of content, this paper proposes a new approach for building ontology via set of rules generated by rule-based learning system. The proposed method integrates different data mining techniques to assist in developing a given domain ontology. This is done by utilising the extracted...
Article
Full-text available
In real-domain problems, having generated a complete map for a given problem, a Learning Classifier System needs further steps to extract minimal and representative rules from the original generated ruleset. In an attempt to understand the generated rules and their complex underlying knowledge, a new rule-driven approach is introduced which utilize...
Conference Paper
Full-text available
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a primary breast cancer data set. Our results indicate more effective knowledge discovery than with C4.5.
Conference Paper
Full-text available
The XCS learning classifier system has traditionally used roulette wheel selection within its genetic algorithm component. Recently, tournament selection has been suggested as providing a number of benefits over the original scheme, particularly a robustness to parameter settings and problem noise. This paper revisits the comparisons made between t...
Article
Full-text available
This paper reports on a two-fold contribution; first, the introduction of a new compaction algorithm for the rules generated by learning classifier systems that overcomes the disadvantages of previous algorithms in complexity, compacted solution size, accuracy and usability. The second is the new hybrid architecture that integrates learning classif...

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