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Processing the Text of the Holy Quran: a Text Mining Study محمد عثمان علي حجازي
The Holy Quran is the reference book for more than 1.6 billion of Muslims all around the world Extracting information and knowledge from the Holy Quran is of high benefit for both specialized people in Islamic studies as well as non-specialized people. This paper initiates a series of research studies that aim to serve the Holy Quran and provide helpful and accurate information and knowledge to the all human beings. Also, the planned research studies aim to lay out a framework that will be used by researchers in the field of Arabic natural language processing by providing a ”Golden Dataset” along with useful techniques and information that will advance this field further. The aim of this paper is to find an approach for analyzing Arabic text and then providing statistical information which might be helpful for the people in this research area. In this paper the holly Quran text is preprocessed and then different text mining operations are applied to it to reveal simple facts about the terms of the holy Quran. The results show a variety of characteristics of the Holy Quran such as its most important words, its wordcloud and chapters with high term frequencies. All these results are based on term frequencies that are calculated using both Term Frequency (TF) and Term Frequency-Inverse Document Frequency (TF-IDF) methods. ...
Fine-Grained Quran Dataset محمد عثمان علي حجازي

Extracting knowledge from text documents has become one of the main hot topics in the field of Natural Language Processing (NLP) in the era of information explosion. Arabic NLP is considered immature due to several reasons including the low available resources. On the other hand, automatically extracting reliable knowledge from specialized data sources as holy books is considered ultimately a challenging task but of great benefit to all humans. In this context, this paper provides a comprehensive Quranic Dataset as a first part (foundation) of an ongoing research that attempts to lay grounds for approaches and applications to explore the holy Quran. The paper presents the algorithms and approaches that have been designed to extract an aggregative data from massive Arabic text sources including the holy Quran and tightly associated books. Holy Quran text is transferred into structured multi-dimensional data records starting from the chapter level, the word level and then the character level. All these are linked with interpretations and meanings, parsing, translations, intonation roots and stems of words, all from authentic and reliable sources. The final dataset is represented in excel sheets and database records format. Also, the paper presents models of the dataset at all levels. The Quranic dataset presented in this paper was designed to be appropriate for: database, data mining, text mining and Artificial Intelligence applications; it is also designed to serve as a comprehensive encyclopedia of holy Quran and the Quranic Science books.

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The State of the Art on Educational Data Mining in Higher Education محمد عثمان علي حجازي
Educational data mining (EDM) is a broader term that focuses on analyzing, exploring, predicting, clustering, and classification of data in educational institutions. EDM grows faster and covers many interdisciplinary such as education, elearning, data mining, data analysis, intelligent system etc... The paper presents most relevant work in the area of EDM in higher education it covers course management systems, student behaviors, decision support system, and student retention and attrition. The paper also provide a comparison study between some of research work in such areas. Because of the growth in the interdisciplinary nature of EDM the paper, also try to provide boundary scope and definitions for EDM. ...
An Approach for Designing and Implementing Eager and lazy Data Replication محمد عثمان علي حجازي

Replication can be a success factor in database systems as well as perhaps being one of the needs of proliferation, expansion, and the rapid progress of databases and distributed technology, despite there being a strong belief among database designers that most existing solutions are not feasible due to their complexity, poor performance and lack of scalability. This paper provides an approach that can help designers in implementing eager and lazy replication mechanisms. The proposed approach contains two phases: In the first phase, the database is designed to have indicator fields that can carry the update status, and to consider the replication concepts by classifying, categorizing and determining the kinds and locations of data objects; in the second phase, the updating methodology is provided to make the implementation of eager and lazy replication mechanisms easier and reliable.

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Measuring and Predicting the Impacts of Business Rules Using Fuzzy Logic محمد عثمان علي حجازي

The relations between the constituent elements of the predominant activities may cannot be measured using the accurate measurement, the reason may be on the conflict or the effect of such rules with other factor, accordingly uncertainty measurement is needed. This paper presents a measurement and predictive fuzzy model that can be fit to work on such rules. The proposed model measures and predicting the impacts of such rules using fuzzy logic, it designed based on the concept of fuzzy logic, fuzzy set and the production rule. The model transforms if-then business rule to weighted fuzzy production rule, and then used this production rule for predicting and measuring the impact of the business rule. The model is tested using real data and provide considerable results.

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An Approach for Arabic Root Generating and Lexicon Development محمد عثمان علي حجازي

This paper presents a novel approach for Arabic root generation and lexicon development. The approach provides three algorithms; in the first algorithm Arabic word root is generated using the concept of permutation and combination, the root generator algorithm generates roots by applying permutations to the Arabic alphabetic letters. Then, the second algorithm is used for developing difference words from that root using Arabic morphology template, the morphology developing algorithm develops the Arabic word by formulating the roots according to the Arabic template. Finally, lexicon is constructed by providing meaning and other information. The paper provides a contribution to the field of Natural Language Processing (NLP); and hence it provides a novel Arabic NLP approach that might be used in different ways in generating Arabic roots and developing Arabic lexicons. The approach presented in this paper can be used as a basis for processing, understanding and electronically using of Arabic language, because it provides a way for covering most of Arabic language components. The results show that this approach provides up to 21,924 different Arabic roots with the

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Dey MEDLINE Text Mining: An Enhancement Genetic Algorithm Based Approach for Document Clustering, ذكرى بن ساسي الشائب

MEDLINE is the largest biomedical literature database. It is updated daily with 200 to 4,000 citations. This permanent growth induces the need of a good MEDLINE abstract clustering to accelerate the procedure of research and information retrieval. Several works have been developed in this context, but clustering MEDLINE abstracts are still an area where researchers are trying to propose new approaches to better clustering. Over the last few years, evolutionary algorithms have been widely applied to clustering problems because of their ability to avoid local optimal solutions and converge to a global one. In this article, a new approach is proposed for clustering MEDLINE abstracts based on an extension of an evolutionary algorithm which is the genetic algorithm combined with a Vector Space Model and an agglomerative algorithm

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Multi-Criteria Decision Aid and Artificial Intelligence for Competitive Intelligenc. ذكرى بن ساسي الشائب

In this paper, we started by showing that artificial intelligence and multi-criteria decision aid are two closely concepts that could benefit from each other. Then, we propose to use this relation and complementarity to deal with competitive intelligence problem and issues. A discussion towards building the foundations of new domain knowledge named the multi-criteria intelligence aid (MCIA) is presented.

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Competitive intelligence: History, importance, objectives, process and issues ذكرى بن ساسي الشائب

Competitive intelligence deals with the competitive environment of a company. Several studies have been conducted on competitive intelligence domain but there is no empirical work that gives a complete implemented competitive intelligence solution. This paper presents an overview of competitive intelligence studies and highlights the issues towards developing a complete CI solution. A new conceptual model which details the collection phase and incorporates the anticipation of the competitor decisions is proposed. To better solve the CI problem, the paper proposes to integrate the ability of multi-criteria decision aid methods to manage conflicting criteria in a complex environment, with the ability of artificial intelligence in managing and extracting large amount of technical data/information in such a context.

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A Review of Scenarios and Enabling Technology Directions for 5g Wireless Communications Usman Tariq
An increase in user base of the 4th generation LTE (Long Term Evolution) grid is observed in recent times while 5th generation LTE technology is still undergoing standardization and testing phase. The formation of Ultra-Dense Networks (UDN) of wireless connectivity with mixed cells organization and ambit of not more than 50 meters is expected from the new LTE standard. It is also expected that the new standard shall upsurge the spectral adeptness associated with 4G networks and guarantee data handover speed of more than 10 Gbps. The 5th generation systems specifications are quite unclear from the viewpoint of outlining the grid planning processes. A key task is the scheduling of handovers not only between homogeneous but also heterogeneous networks while guaranteeing Quality of Service (QoS) criteria. ...
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