Faten Kharbat

Al Ain University · Faculty of Engineering

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...

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

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...

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...

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...

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...

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...

Presents information on various MTTS Society chapters.

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...

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...

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...

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...

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...

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....

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...

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...

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...

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...

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.

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...

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...

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.

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...

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...