Afaf Ahmed Mohamed, Merghani Ali Omer Hamid

كلية الدراسات العليا-جامعة السودان للعلوم والتكنولوجيا · السودان

This study aims to define the effects of implementation approaches of EFQM Excellence Model on business results in Giad Industrial Group which adopted the implementation of the excellence model since the year 2007. Six business units were selected as case study, but there were clear deviations in results achieved at Giad Award of Excellence. A descriptive analytical approach was adopted by using SPSS (15) and the data was collected by a questionnaire which based on determining the approaches and the perception of sub-criteria of deployed approach and the effective support activities of the study were collected by the project managers of business units. The samples were selected due to the size of the business units of the case studies and the questionnaire analyzed and distributed to samples of 50 members of improvement teams at business units selected. The results concluded that the workshop approach was deployed with the percentage of 94% of all approaches implemented at GIG. The study also explored that the performance indicators of approaches considered one of the success factors of implementing the EFQM Excellence Model. The recommendations concerning the implementation approach represented by increasing of awareness of the concept of self assessment, the high commitment of leadership, continuous improvement of approach in implementation of EFQM excellence model

Amira El Keboub, I. Benterkia, M. Kaci, Wissem Bouras

معهد العمارة والعمران-جامعة سعد دحلب - البليدة · الجزائر

عبد عطالله عبد حمايل, علي حبايب

كلية الدراسات العليا -جامعة النجاح الوطنية · فلسطين

Sherief Abdallah, Wesam Mohammad Alnusairat

كلية الهندسة وتكنولوجيا المعلومات-الجامعة البريطانية في دبي · الامارات

Data mining is considered as one of the most powerful and contemporary tools in extracting massive and valuable data and information from several standard database formats that all different kinds of public and private organizations use in their daily operations and processes. In this thesis, the data type used is only one of millions of other possibilities and examples around the world where data is a real need for enhanced business operations and improved service offerings.This dissertation offers a holistic proposal for utilizing data mining tools and technologies with the objective of collecting big volume of personal and demographic information about anonymous everyday public transport users. This will contribute well to the vision and strategy of one of Gulf Cites. Furthermore, it will assist the Road and Transport Authority in enhancing the levels of its service reliability and dependability while improving its security and safety measures and surveillance systems which offer priceless benefit to local community, its stability and prosperity.Dealing with this huge volume of transactions could be very challenging. Chapter: Data Preparation in this thesis explains in a lot of details how data can be gathered all the way to the phases where data is organized, processed, reported and accessed. The data pre-processing phase touches on several topics such as handling the missing data, duplicating and writing some back-end procedures in order to modify the logic of current graphical data and move it to different table structure to be more fit for purpose.As per the research conducted in this theses, it has proved to be very challenging to find any similar studies in the whole Middle East and Africa that look into and analyses the behaviors of public transport passengers using a data mining technology. This makes this thesis more unique and hopefully many other specialized studies and researches in the region will follow and contribute to what is fast becoming a compelling need in our today’s business management and operations in the whole world.

Amina Bochra Bouras, Belhadjami Messaoud, Mehenni Tahar

كلية الرياضيات والاعلام الآلي-جامعة محمد بوضياف - المسيلة · الجزائر

After the spread of the term knowledge graph in the recent years and the definition of its concept and how to represent it, it was used by many companies for different purposes. As well, KG has relation with some domains and it is under development.The aim of this dissertation is to verify the possibility of applying the knowledge graph in the data mining domain in order to solve the problem of missing values in the database. Therefore, KG becomes a prediction technique which can be developed and used in this domain.

A. Benghalia , Benhabiles Mohamed Taoufik

معهد الإلكترونيات-جامعة الاخوة منتورى - قسنطينة 1 · الجزائر

سارة رحمون, ساهولي

كلية علوم الطبيعة والحياة-جامعة زيان عاشور - الجلفة · الجزائر

Akila Zeraig, Hamzi S., Nassima Belmokhtar, Safi B.

كلية العلوم الهندسية-جامعة أمحمد بوقرة - بومرداس · الجزائر

صبيحة عروش, سليمة عكوش, فاطمة إسعد

كلية الحقوق والعلوم السياسية-جامعة عبد الرحمان ميرة - بجاية · الجزائر

للملكية العقارية أهمية بالغة في حياة الشعوب باعتبارها مقياسا للثروة ومصدرها، والسبيل إلى ذلك هو تشهير بمختلف التصرفات والحقوق العقارية وإعلانها لعامة الناس، ومن هنا ألزم المشرع الجزائري على ضرورة إجراء الرقابة على الوثائق والسندات قصد شهرها من قبل المحافظ العقاري، ومن أجل حماية حقوق الأفراد منح لهم حق الطعن في قراراته وبذلك أوجب المشرع إجراء الرقابة على الشهر العقاري

A. Daamouche, Mohamed Amine Blil, Kheire Eddine Amara

معهد الهندسة الكهربائية والإلكترونيك-جامعة أمحمد بوقرة - بومرداس · الجزائر

The present work deals with image classification in the field of remote sensing and retinal blood vessels which is a joint venture between image processing and classification techniques. The advancement in the imagery fieldin terms of resolution allowed the availability of very high resolution images. Therefore, new techniques and algorithms become necessary to cope with technology.In this regard, Gabor filters have been used in a variety of image processing applications. It had a distinctive effect in improving the image and increasing its clarity andquality for further processing. In this work, the effectiveness of the Gabor filteris explored. In particular, we used Gabor features in conjunction with the SVM to classifyre motely sensed data and retinal blood vessels images. The simulation results on different datasets showed that our approachis promising in the field of image classification.