Browsing by Author "Islam, Fahad"

Now showing items 1-5 of 5

    • 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 ...

    • Conceptual-based Functional Dependency Detection Framework 

      Islam, Fahad ( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)
      Nowadays, knowledge discovery from data is one of the challenging problems, due to its importance in different fields such as; biology, economy and social sciences. One way of extracting knowledge from data can be achieved ...

    • Individual Query Cardinality Estimation using Multiple Query Combinations on a Search Engine's Corpus 

      Islam, Fahad; Hassaine, Abdelaali; Jaoua, Ali; Das, Gautam; Zhang, Nan ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Most modern search engines feature keyword based search interfaces. These interfaces are usually found on websites belonging to enterprises or governments or sites related to news articles, blogs and social media that ...

    • 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 ...

    • 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 ...