Browsing by Author "Al-Maadced S."

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    • Unsupervised Technique for Anomaly Detection in Qatar Stock Market 

      Al-Thani H.; Hassen H.; Al-Maadced S.; Fetais N.; Jaoua A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The aim of anomaly detection is to find patterns or data points that are not confirming the expected behavior inside the dataset. Techniques from a variety of disciplines like machine learning, statistics, information ...