• Conceptual data sampling for breast cancer histology image classification 

      Rezk, Eman; Awan, Zainab; Islam, Fahad; Jaoua, Ali; Al Maadeed, Somaya; ... more authors ( Elsevier Ltd , 2017 , Article)
      Data analytics have become increasingly complicated as the amount of data has increased. One technique that is used to enable data analytics in large datasets is data sampling, in which a portion of the data is selected ...
    • Mobile app conceptual browser: Online marketplaces information extraction 

      Aqle, Aboubakr; Islam, Fahad; Rezk, Eman; Jaoua, Ali ( IEEE Computer Society , 2016 , Conference Paper)
      Online marketplaces are e-commerce websites where thousands of products are provided by multiple third parties. There are dozens of these differently structured marketplaces that need to be visited by the end users to reach ...
    • Optimized Processing of a Batch of Aggregate Queries over Hidden Databases 

      Rezk, Eman; Aqle, Aboubakr; Jaoua, Ali; Das, Gautam; Zhang, Nan ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      A tremendous amount of data is concealed behind form-based interfaces that communicate any user query to their data store to deliver query answer. These interfaces limit the number of retrieved search results to the top-k ...
    • Software project management: Theory of constraints, risk management, and performance evaluation 

      Asseman, Antoine; Aloraidi, Nada Ashqar; Salim, Mariam; Rezk, Eman; Dawoud, Heba; ... more authors ( Mundo Press , 2014 , Article)
      Constraints and risks are two critical factors that affect software project performance; more attention needs to be paid to constraints and risks in order to improve performance. In this paper, investigation will take place ...
    • Uncertain training data set conceptual reduction: A machine learning perspective 

      Rezk, Eman; Babi, Syrinne; Islam, Fahad; Jaoua, Ali ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Knowledge discovery from data is a challenging problem that has significant importance in many different fields such as biology, economics and social sciences. Real-world data is incomplete and ambiguous; moreover, its ...
    • Urban air pollution monitoring system with forecasting models 

      Shaban, Khaled Bashir; Kadri, Abdullah; Rezk, Eman ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      A system for monitoring and forecasting urban air pollution is presented in this paper. The system uses low-cost air-quality monitoring motes that are equipped with an array of gaseous and meteorological sensors. These ...