Goals Partitioning using Arabic verb ontology in intentional web service search

With the increasing growth in popularity of Web services and SOA, discovering relevant Web services becomes a significant challenge. The introduction of intentional services is necessary to bridge the gap between low level, technical software-service descriptions and high level, strategic expressions of business needs for services. Current Web Services technology based on UDDI and WSDL does not make use of this “intention” and therefore fails to address the problem of matching between capabilities of services and business user needs. This work addresses the problem of intentional semantic web service search in Arabic, where a novel approach is proposed for partitioning user goals based on Arabic verb ontology, in addition to showing a practical example about the effect of applying verb ontology in intentional web service search.

Support marketing campaigns decisions in mobile Telecommunications to provide Location-Based services, by using Big Data technologies

Our proposed work is to introduce a combination of active and passive customer modes. And this will enhance the detecting the customers, even though they are not using their mobile by making a call.

بناء نظام مساعد في اتخاذ القرار لحل مشكلة تسرب التلاميذ في مرحلة التعليم الإلزامي

Student dropout is a serious problem in education, there are many factors that can influence student dropout so it is not an easy issue to resolve. The scope of this research is to examine the accuracy of the ensemble techniques for predicting the student dropout, particularly for primary school students in the Syrian Arab Republic. The new classifier is designed based on the ensemble techniques “Stacking” and application of techniques Feature Selection where the database suffers from the problem of imbalance. This new classifier has been compared with individual ones by using the Cross-Validation technique, the study concluded that the proposed classifier is the best among the others that have been compared to predict the student dropout.

What-If Analysis Simulation Model in Business Intelligence Application on Offers’ Selection in Syriatel Telecom Company

Decision making process have to be much more accurate and careful. Therefore, decision makers depend on what-if analysis systems to predict an impact of a specific scenario. Usually, previous what-if analysis models in the literature have been directed just to predict an impact of a specific scenario. Therefore, our main goal in this approach is to enhance what-if analysis to suggest the best scenarios, in addition to predict their impacts. Affordable offers are one of the best ways to increase the revenue in telecom companies. Decision makers can predict a potential revenue before launching an offer, depending on what-if analysis system. This research depends on enhanced k-means algorithm to categorize customers into segments of the same behavior or usage.

Building a Knowledge Discovery in Database (KDD) Model Based on SCRUM Agile Methodology (SCRUM-BI)

In this work, we are proposing a new model for knowledge discovery in database (KDD) named "SCRUM-BI". It based on SCRUM agile methodology to enhance the way of building Business Intelligence and Data Mining applications. This model characterized as more adaptive to the changing requirements, priorities and rapidly evolving business environments. SCRUM-BI Also improves and enhances the process of knowledge obtaining and sharing, which contributes to support strategic decision-making. The model was validated using a case study on the telecommunications sector in Syria.

من نموذج إجرائية العمل إلى خدمات الويب

In our thesis, we present many previous approaches for mapping BPMN to BPEL. Moreover, we compare between their own strengths and weaknesses. Then we offer our new approach based on ESHUIS-GREFEN2 algorithm. We develop this algorithm to accept BPMN as input and BPEL as output. In addition, we solve the synchronization problem in ESHUIS algorithm by adding algorithm to find and process cross-synchronization links between parallel branches. We evaluated our approach by doing two case studies and comparing the results with other approaches and implementations.