أ.د. عبد الله الطيب بن سعد عبد الله المليص
أ.د. عبد الله الطيب بن سعد عبد الله المليص
عدد المشاهدات : 27
أستاذ هندسة البرمجيات والأنظمة والذكاء الاصطناعي، ومدير الجامعة العربية المفتوحة – فرع المدينة المنورة.

أ.د. عبد الله الطيب بن سعد عبد الله المليص

أستاذ أكاديمي متخصص في هندسة البرمجيات والأنظمة والذكاء الاصطناعي، يتمتع بخبرة تتجاوز 34 عامًا في مجال التعليم، خاصة التدريس وبناء المناهج. تشمل اهتماماته البحثية تحليلات البيانات، وذكاء الأعمال، وهندسة الأعمال، وإعادة هندسة العمليات، والتنقيب عن البيانات، ونظم دعم القرار.

  • جهة العمل : الجامعة العربية المفتوحة – فرع المدينة المنورة؛ جامعة دار الحكمة؛ وجامعة الملك عبدالعزيز.
  • مجال الخبرة : هندسة البرمجيات والأنظمة، الذكاء الاصطناعي، علوم الحاسب، نظم المعلومات، تحليلات البيانات، التنقيب عن البيانات، ذكاء الأعمال، هندسة الأعمال، وإدارة وتقييم المشاريع التقنية.
  • سنوات الخبرة : أكثر من 34 عامًا في مجال التعليم

المؤهلات

المؤهلاسم الجامعةالتخصص العامالتخصص الدقيقالدولةسنة التخرج
دكتوراه علوم الحاسبات جامعة جورج واشنطن علوم الحاسب هندسة البرمجيات والذكاء الاصطناعي الولايات المتحدة الأمريكية 2003
ماجستير نظم معلومات إدارية جامعة إلينوي في سبرينغفيلد نظم المعلومات الإدارية نظم المعلومات الإدارية الولايات المتحدة الأمريكية 1992
بكالوريوس علوم الحاسب جامعة جنوب المسيسيبي علوم الحاسب علوم الحاسب الولايات المتحدة الأمريكية 1990
بكالوريوس إدارة أعمال جامعة الملك عبدالعزيز إدارة الأعمال إدارة الأعمال المملكة العربية السعودية 1984
دراسة لغة إنجليزية جامعة جنوب المسيسيبي اللغة الإنجليزية اللغة الإنجليزية الولايات المتحدة الأمريكية 1985

الخبرات

الخبرة العلمية والوظيفيةاسم الجهةمن تاريخإلى تاريخ
مدير الجامعة العربية المفتوحة – فرع المدينة المنورة الجامعة العربية المفتوحة 2026 حتى الآن
أستاذ، قسم نظم المعلومات جامعة دار الحكمة 2022 حتى الآن
عضو مجلس عمادة البحث العلمي جامعة الملك عبدالعزيز 2024 2025
الأمين العام للمجلس العلمي جامعة الملك عبدالعزيز 2022 2024
مستشار لوكيل الجامعة للدراسات العليا والبحث العلمي جامعة الملك عبدالعزيز 2021 2024
رئيس وحدة المستشارين، مكتب نائب رئيس الجامعة للتطوير جامعة الملك عبدالعزيز 2020 2024
رئيس قسم مهارات الحاسب الآلي جامعة الملك عبدالعزيز 2013 2022
وكيل الكلية للدراسات العليا والبحث العلمي جامعة الملك عبدالعزيز 2014 2020
مستشار غير متفرغ منظمة التعاون الإسلامي 2019 2020
رئيس قسم نظم المعلومات جامعة الملك عبدالعزيز 2012 2014
رئيس قسم الحاسبات وتقنية المعلومات كلية المجتمع، جامعة الملك عبدالعزيز 2010 2012
عضو هيئة تدريس، قسم نظم المعلومات جامعة الملك عبدالعزيز 2008 حتى الآن
وكيل كلية – دوام جزئي كلية العلوم والتكنولوجيا، جدة 2009 2010
مستشار – دوام جزئي كلية إدارة الأعمال، جدة 2005 2010
مستشار وزارة الحج 2008 2008
رئيس قسم نظم المعلومات الإدارية كلية إدارة الأعمال، جدة 2005 2008
أستاذ مساعد، قسم علوم الحاسب كلية الاتصالات والإلكترونيات بجدة 2004 2009
رئيس قسم المواد العامة وأستاذ مساعد علوم الحاسب الكلية التقنية بجدة 2004 2004
باحث، مشروع Wireless PAD المدعوم من DARPA جامعة جورج واشنطن 2002 2003
باحث، مشروع Habitats المدعوم من DARPA جامعة جورج واشنطن 2001 2002
مصحح، قسم علوم الحاسب جامعة جورج واشنطن 2000 2000
مساعد تدريس دراسات عليا جامعة جورج واشنطن 1999 2003
محاضر علوم الحاسب ونظم المعلومات الكلية التقنية بجدة 1993 2004

الأعمال العلمية المنشورة

›
Alsaadi, Lamya, et al. “Impact of Generative AI and Green Process Innovation on Sustainable Supply Chain Performance in Saudi Arabian Industrial SMEs.” Discover Sustainability, vol. 7, 2026, article 489.
›
Katib, Iyad, et al. “Mathematically Structured Quantum Time-Series Analytics with Dual-Stream Convolutional Recurrent Network for Advanced Smart Grid Fault Detection.” Alexandria Engineering Journal, vol. 145, 2026.
›
Katib, Iyad, et al. “Artificial Intelligence with Deep Convolutional Neural Network-Based Clinical Decision-Making on Kidney Oncology Using Multimodal Imaging.” Scientific Reports, 2026.
›
Alghamdi, Salihah, et al. “Coexistence of Humans and Hamadryas Baboons in Al-Baha Region, Saudi Arabia—Emotional, Social, and Financial Aspects.” Animals, vol. 16, no. 1, 2025, article 47.
›
Abumelha, Manal, et al. “Medical Feature Extraction from Clinical Examination Notes: Development and Evaluation of a Two-Phase Large Language Model Framework.” JMIR Medical Informatics, vol. 13, 2025, article e78432.
›
Abumelha, Manal, et al. “A Robust LLM-Based Framework for Medical Feature Extraction with Matching Gate Hallucination Filtering.” Journal of Information Systems Engineering and Management, vol. 10, no. 13, 2025.
›
Maghrabi, Louai A., et al. “Mitigating Distributed Denial of Service-Based Cyberattack in Federated Computing Framework Using Deep Reinforcement Learning with Frilled Lizard Algorithm.” Scientific Reports, Nov. 2025.
›
Katib, Iyad, et al. “Integrating Convolutional Stacked Long Short-Term Memory with Bio-Inspired Algorithm for Secure Unmanned Aerial Vehicle Communication in SDN Environment.” Results in Engineering, 2025, article 106838.
›
Asiri, Mona Hassan, et al. “Using Big Data Analytics and Business Intelligence for Flight Delay Prediction.” International Conference on Computing and Communication Networks, Springer Nature, 2025, pp. 121–139.
›
Althaqafi, T., et al. “Enhancing Student Performance Prediction: The Role of Class Imbalance Handling in Machine Learning Models.” Discover Computing, vol. 28, no. 1, 2025, pp. 1–34.
›
Nooh, Sameer, et al. “An Exploratory Analysis of Longitudinal Artificial Intelligence for Cognitive Fatigue Detection Using Neurophysiological Based Biosignal Data.” Scientific Reports, vol. 15, 2025, article 15736.
›
Aljuhani, Nouf M., et al. “Convolutional Bi-LSTM for Automatic Personality Recognition from Social Media Texts.” IEEE Access, 2025.
›
Asiri, Mona Hassan, et al. “Enhancing Flight Delay Prediction Using Residual Neural Networks (ResNets).” Metallurgical and Materials Engineering, vol. 31, no. 4, 2025, pp. 318–330.
›
Ragab, Mahmoud, et al. “Artificial Intelligence Driven Cyberattack Detection System Using Integration of Deep Belief Network with Convolution Neural Network on Industrial IoT.” Alexandria Engineering Journal, vol. 110, 2025, pp. 438–450.
›
Ragab, Mahmoud, et al. “Enhancing Cybersecurity in Higher Education Institutions Using Optimal Deep Learning-Based Biometric Verification.” Alexandria Engineering Journal, vol. 117, 2025, pp. 340–351.
›
Ragab, Mahmoud, et al. “Leveraging Fuzzy Embedded Wavelet Neural Network with Multi-Criteria Decision-Making Approach for Coronary Artery Disease Prediction Using Biomedical Data.” Scientific Reports, vol. 14, 2024, article 31087.
›
Sharaf, S. A., et al. “Advanced Mathematical Modeling of Mitigating Security Threats in Smart Grids through Deep Ensemble Model.” Scientific Reports, vol. 14, 2024, article 23069.
›
Alsulami, Abdulkream A., et al. “Identification of Anomalies in Lung and Colon Cancer Using Computer Vision-Based Swin Transformer with Ensemble Model on Histopathological Images.” Bioengineering, vol. 11, no. 10, 2024, article 978.
›
Alshammari, Sultanah M., et al. “Hybrid Arithmetic Optimization Algorithm with Deep Learning Model for Secure Unmanned Aerial Vehicle Networks.” AIMS Mathematics, vol. 9, no. 3, 2024.
›
Ragab, Mahmoud, et al. “Synergizing Remora Optimization Algorithm and Transfer Learning for Visual Places Recognition in Intelligent Transportation Systems and Consumer Electronics.” IEEE Transactions on Consumer Electronics, 2024.
›
Alghamdi, Mona Ahamd, et al. “Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble.” Big Data Mining and Analytics, vol. 7, no. 2, 2024.
›
Alghamdi, Ahmad Abdullah N., et al. “Factors Affecting Success or Failure in Software Projects in the Kingdom of Saudi Arabia.” Cahiers Magellanes-NS, vol. 6, no. 1, 2024, pp. 783–803.
›
Ashary, Ehab Bahaudien, et al. “Enhancing Resilience in Next-Generation Wireless Networks through Deep Learning for Security Enhancement.” IEEE Transactions on Consumer Electronics, 2024.
›
Alkarim, A. S., et al. “Ensemble Learning-Based Algorithms for Traffic Flow Prediction in Smart Traffic Systems.” Engineering, Technology & Applied Science Research, vol. 14, no. 2, 2024, pp. 13090–13094.
›
Maghrabi, Louai A., et al. “Enhancing Cybersecurity in the Internet of Things Environment Using Bald Eagle Search Optimization with Hybrid Deep Learning.” IEEE Access, 2024.
›
Alkarim, Anas S., et al. “The Internet of Vehicles (IoV) Technology: Challenges and Solutions.” Journal of Theoretical and Applied Information Technology, 2023.
›
Altalhi, S. M., et al. “An Architecture for a Tri-Programming Model-Based Parallel Hybrid Testing Tool.” Applied Sciences, vol. 13, no. 21, 2023, article 11960.
›
Ragab, M., et al. “Robust DDoS Attack Detection Using Piecewise Harris Hawks Optimizer with Deep Learning for a Secure Internet of Things Environment.” Mathematics, vol. 11, no. 21, 2023, article 4448.
›
Al-Ghamdi, Mona, et al. “A Hybrid DNN Multilayered LSTM Model for Energy Consumption Prediction.” Applied Sciences, vol. 13, no. 20, 2023, article 11408.
›
Ragab, M., et al. “Self-Upgraded Cat Mouse Optimizer with Machine Learning Driven Lung Cancer Classification on Computed Tomography Imaging.” IEEE Access, 2023.
›
Ragab, M., et al. “Improved Artificial Rabbits Optimization with Ensemble Learning-Based Traffic Flow Monitoring on Intelligent Transportation System.” Sustainability, vol. 15, 2023, article 12601.
›
Almeghlef, S. M., et al. “Machine Learning-Based DoS Amplification Attack Detection against Constrained Application Protocol.” Applied Sciences, vol. 13, no. 13, 2023, article 7391.
›
Almeghlef, S., et al. “Application Layer-Based Denial-of-Service Attacks Detection Against IoT-CoAP.” Electronics, 2023.
›
Althaqafi, T., et al. “Artificial Intelligence Based COVID-19 Detection and Classification Model on Chest X-ray Images.” Healthcare, vol. 11, 2023, article 1204.
›
Alsulami, Abdulkream A., et al. “Enhancement of E-Learning Student’s Performance Based on Ensemble Techniques.” Electronics, vol. 12, no. 6, 2023, article 1508.
›
Ragab, M., et al. “A Machine Learning Approach for Monitoring and Classifying Healthcare Data—A Case of Emergency Department of KSA Hospitals.” International Journal of Environmental Research and Public Health, vol. 20, 2023, article 4794.
›
Al-Malaise Al-Ghamdi, A. S., et al. “Deep Learning Based Face Mask Detection in Religious Mass Gathering during COVID-19 Pandemic.” Computer Systems Science and Engineering, vol. 46, no. 2, 2023, pp. 1863–1877.
›
Fakieh, B., et al. “Optimal Machine Learning Driven Sentiment Analysis on COVID-19 Twitter Data.” Computers, Materials & Continua, vol. 75, no. 1, 2023, pp. 81–97.
›
Ahamed, Zaakki, et al. “Technical Study of Deep Learning in Cloud Computing for Accurate Workload Prediction.” Electronics, 2023.
›
Basloom, H. S., et al. “Errors Classification and Static Detection Techniques for Dual-Programming Model (OpenMP and OpenACC).” IEEE Access, 2022.
›
Basloom, H., et al. “A Parallel Hybrid Testing Technique for Tri-Programming Model-Based Software Systems.” Computers, Materials & Continua, vol. 74, no. 2, 2023, pp. 4501–4530.
›
Aljabhan, Basim, et al. “Optimal Logistics Activities Based Deep Learning Enabled Traffic Flow.” CMC-Computers, Materials & Continua, vol. 73, no. 3, 2022, pp. 5269–5282.
›
Fakieh, Bahjat, et al. “The Effect of Utilizing Business Model Canvas on the Satisfaction of Operating Electronic Business.” Complexity, vol. 2022, 2022, article 1649160.
›
Khan, Asif Irshad, et al. “Recycling Waste Classification Using Emperor Penguin Optimizer with Deep Learning Model for Bioenergy Production.” Chemosphere, 2022.
›
Ibrahem, Mohamed, et al. “Electricity Theft Detection for Change-and-Transmit Advanced Metering Infrastructure.” IEEE Internet of Things Journal, 2022.
›
Ragab, Mahmoud, et al. “Prediction of Diabetes through Retinal Images Using Deep Neural Network.” Computational Intelligence and Neuroscience, 2022.
›
Fakieh, Bahjat, et al. “Optimal Deep Stacked Sparse Autoencoder Based Osteosarcoma Detection and Classification Model.” Healthcare, vol. 16, no. 2, 2022.
›
Al-Ghamdi, A. S., et al. “Detection of Dental Diseases through X-Ray Images Using Neural Search Architecture Network.” Computational Intelligence and Neuroscience, 2022.
›
Saleem, F., et al. “Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review.” International Journal of Environmental Research and Public Health, vol. 19, no. 9, 2022, article 5099.
›
Khan, A. I., et al. “Integrating Blockchain Technology into Healthcare through an Intelligent Computing Technique.” CMC-Computers, Materials & Continua, vol. 70, no. 2, 2022, pp. 2835–2860.
›
Assiri, A., et al. “Towards an Innovative Educational Knowledge Model for Intelligent Academic Advising.” International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, vol. 12, no. 11, 2021, pp. 1–13.
›
Mourtaji, Youness, et al. “Hybrid Rule-Based Solution for Phishing URL Detection Using Convolutional Neural Network.” Wireless Communications and Mobile Computing, 2021, article 8241104.
›
Alghazzawi, D., et al. “ScaleUp: Middleware for Intelligent Environments.” PeerJ Computer Science, vol. 7, 2021, article e545.
›
Alsolami, Fawaz J., et al. “Impact Assessment of COVID-19 Pandemic through Machine Learning Models.” Computers, Materials & Continua, vol. 68, no. 3, 2021, pp. 2895–2912.
›
Abdi, A. I., et al. “Blockchain Platforms and Access Control Classification for IoT Systems.” Symmetry, vol. 12, no. 10, 2020, article 1663.
›
Alghamdi, A. M., et al. “Parallel Hybrid Testing Techniques for the Dual-Programming Models-Based Programs.” Symmetry, vol. 12, no. 9, 2020, article 1555.
›
Sher, R., et al. “Context Based Adoption of Ranking and Indexing Measures for Cricket Team Ranks.” CMC-Computers, Materials & Continua, vol. 65, no. 2, 2020, pp. 1113–1136.
›
Mohammed, F., et al. “Cloud Computing Services: Taxonomy of Discovery Approaches and Extraction Solutions.” Symmetry, vol. 12, no. 8, 2020, article 1354.
›
Al-Malaise Al-Ghamdi, Abdullah Saad, et al. “ACC_TEST: Hybrid Testing Techniques for MPI-Based Programs.” IEEE Access, vol. 8, 2020.
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Eassa, Fathy Elbouraey, et al. “ACC_TEST: Hybrid Testing Approach for OpenACC-Based Programs.” IEEE Access, vol. 8, 2020.
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Alkatheri, Safaa, and Abdullah Saad Al-Malaise Al-Ghamdi. “A Systematic Literature Review and Analysis of Unemployment Problem and Potential Solutions.” International Journal of Computer Applications, vol. 182, no. 44, Mar. 2019.
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Nadeem, Farrukh, et al. “Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems.” IEEE Access, vol. 7, 2019, pp. 25138–25149.
›
Al-Fleit, Shaimaa Saud, et al. “Modeling and Executing a Guideline-Based Clinical Decision Support System Using the PROforma Methodology.” IJCSNS International Journal of Computer Science and Network Security, vol. 19, no. 7, July 2019.
›
Al-Barhamtoshy, Hassanin M., et al. “A Comprehensive Framework for OCR Web Services System for Arabic Calligraphy Documents.” International Journal of Engineering & Technology, vol. 8, 2019.
›
Alharbi, Nora, et al. “DMPY: Data Model Process-Based Methodology.” 10th Scientific Forum, King Abdulaziz University, 2019.
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Ullah, Z., et al. “The Effect of Automatic Assessment on Novice Programming: Strengths and Limitations of Existing Systems.” Computer Applications in Engineering Education, Apr. 2018.
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Al-Malaise Al-Ghamdi, Abdullah Saad, and Farrukh Saleem. “General Characteristics and Common Practices for ICT Projects: Evaluation Perspective.” International Journal of Advanced Computer Science and Applications, vol. 9, no. 1, 2018.
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Alghamdi, Hossain A., et al. “A Post Evaluation Framework to Evaluate ERP Project’s Acceptance and Success in Saudi Arabia: Multi-Case Studies.” International Journal of Advanced Research in Computer and Communication Engineering, vol. 7, no. 2, 2018.
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Alghamdi, Hossain A., et al. “A Post Evaluation Framework to Evaluate ERP Project’s Acceptance and Success in Saudi Arabia: Literature Review.” International Journal of Advanced Research in Computer and Communication Engineering, vol. 7, no. 2, 2018.
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Alhumayan, Alhanoof Mohammed, et al. “Supporting Strategic Planning Decision-Making in Higher Education by Developing IDSS Using Open Source Dashboard Technology.” International Journal of Computer Applications, vol. 181, no. 29, Nov. 2018.
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Saleem, F., et al. “Developing a Holistic Model for Assessing the ICT Impact on Organizations: A Managerial Perspective.” Intelligent Automation & Soft Computing, 2017.
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Al-Malaise Al-Ghamdi, Abdullah. “A Proposed Model to Measure the Impact of Business Architecture.” Cogent Business & Management, vol. 4, no. 1, 2017.
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Al-Malaise Al-Ghamdi, Abdullah. “Validating the IT Value Model: A Case of Cloud Computing Server.” International Journal of Computer Applications, vol. 175, no. 1, Oct. 2017.
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Al-Malaise Al-Ghamdi, Abdullah. “Building a Framework for ICT Project Implementation and Evaluation.” Global Journal of Computer Science and Technology, vol. 17, no. 1, Sept. 2017.
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Saleem, F., et al. “Assessing the Effects of Information and Communication Technologies on Organizational Development: Business Values Perspectives.” Information Technology for Development, June 2017.
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Nadeem, Farrukh, et al. “Modeling and Predicting Execution Time of Scientific Workflows in the Grid Using Radial Basis Function Neural Network.” Cluster Computing, July 2017, pp. 1–15.
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Altalhi, A. H., et al. “Developing a Framework and Algorithm for Scalability to Evaluate the Performance and Throughput of CRM Systems.” Intelligent Automation & Soft Computing, 2016.
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Saleem, Farrukh, et al. “Comparative Study from Several Business Cases and Methodologies for ICT Project Evaluation.” International Journal of Advanced Computer Science and Applications, vol. 7, no. 6, July 2016.
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Al-Malaise Al-Ghamdi, Abdullah Saad, and Farrukh Saleem. “The Impact of ICT Applications in the Development of Business Architecture of Enterprises.” International Journal of Managerial Studies and Research, vol. 4, no. 4, Apr. 2016, pp. 22–28.
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Barnawi, Ahmed, et al. “An Anti-Pattern-Based Runtime Business Process Compliance Monitoring Framework.” International Journal of Advanced Computer Science and Applications, vol. 7, no. 2, 2016, pp. 551–572.
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Barnawi, Ahmed, et al. “Runtime Self-Monitoring Approach of Business Process Compliance in Cloud Environments.” Cluster Computing—The Journal of Networks, Software Tools and Applications, Oct. 2015, pp. 1–24.
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Fardoun, Habib M., et al. “Construction of Educative Micro-Worlds to Build Students’ Creativity in Terms of Their Own Self-Learning.” HCI, 2015, pp. 349–360.
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Saleem, Farrukh, et al. “Building Framework for ICT Investments Evaluation: Value on Investment Perspective.” ARPN Journal of Engineering and Applied Sciences, vol. 10, no. 3, Feb. 2015, pp. 1074–1079.
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Al-Talhi, Abdulrahman H., et al. “IT Governance: Performance and Risk Management Evaluation in Higher Education.” Information Journal, vol. 17, no. 12(B), Dec. 2014, pp. 6355–6370.
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Saleem, Farrukh, et al. “Comprehensive Study of Information and Communication Technology Investments: A Case Study of Saudi Arabia.” Information Journal, vol. 16, no. 11, 2013, pp. 7875–7893.
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Ullah, Zahid, et al. “Critical Success Factors of ERP Implementation at Higher Education Institutes: A Brief Case Study.” Information Journal, vol. 16, no. 10, 2013, pp. 7369–7378.
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Al-Malaise Al-Ghamdi, Abdullah, et al. “Clinical Decision Support System in Healthcare Industry Success and Risk Factors.” International Journal of Computer Trends and Technology, vol. 11, no. 4, May 2014, pp. 188–192.
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Al-Ghamdi, Faiza Abdulghani Al-Tajem, et al. “Integrated Business Intelligent System for e-Health: A Case for Dermatology Diseases.” Journal of Cosmetics, Dermatological Sciences and Application, vol. 4, no. 1, 2014, pp. 53–59.
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Alghamdi, Hossain A., et al. “BPR: Evaluation of Existing Methodologies and Limitations.” International Journal of Computer Trends and Technology, vol. 7, no. 4, Jan. 2014, pp. 224–227.
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Al-Malaise Al-Ghamdi, Abdullah, et al. “Change Management for Human in Enterprise Resource Planning System.” International Journal of Computer Trends and Technology, vol. 6, no. 2, Dec. 2013, pp. 99–103.
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Al-Malaise Al-Ghamdi, Abdullah Saad. “Security in Business Electronics.” International Journal of Computer Science Issues, vol. 10, no. 5, 2013.
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Al-Malaise Al-Ghamdi, Abdullah Saad. “Implementation of Apriori Algorithm to Analyze Organization Data: Building Decision Support System.” International Journal of Computer Applications, vol. 66, no. 9, 2013.
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Al-Malaise Al-Ghamdi, Abdullah Saad. “Towards Knowledge Management System Success: Analysis of Critical Success Factors.” Global Journal of Computer Science and Technology Software & Data Engineering, vol. 13, no. 1, 2013.
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Al-Malaise Al-Ghamdi, Abdullah Saad. “Change Management Strategies and Processes for the Successful ERP System Implementation: A Proposed Model.” International Journal of Computer Science and Information Security, vol. 11, no. 2, 2013.
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Al-Malaise Al-Ghamdi, Abdullah Saad. “Integration of Automated Decision Support Systems with Data Mining: A Client Perspective.” International Journal of Advanced Computer Science and Applications, vol. 4, no. 2, 2013.
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Whittington, Luke, et al. “Towards Realising FollowMe User Profiles for Macro-Intelligent Environments.” Computers, vol. 2, no. 3, 2013, pp. 132–151.
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Al-Malaise Al-Ghamdi, Abdullah Saad. “Rules Generation from ERP Database: A Successful Implementation of Data Mining.” International Journal of Computer Science and Network Security, vol. 12, no. 3, 2012.
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Al-Malaise Al-Ghamdi, Abdullah Saad. “Efficient Implementation of FP Growth Algorithm—Data Mining on Medical Data.” International Journal of Computer Science and Network Security, vol. 11, no. 12, 2011.
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Al-Malaise Al-Ghamdi, Abdullah Saad, et al. “An Expert System of Determining Diabetes Treatment Based on Cloud Computing Platforms.” IJCSIT, vol. 2, no. 5, 2011.

تواصل معي

أ.د. عبد الله الطيب بن سعد عبد الله المليص