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    Real-Time Traffic Flow Forecasting and Travel Time Prediction

    , M.Sc. Thesis Sharif University of Technology Mahini, Mohammad (Author) ; Habibi, Jafar (Supervisor)
    Abstract
    There has been great progress in Intelligent Transportation Systems (ITS) during the past decade. It is often difficult to manage vehicle traffic systems due to high variations and complexity. Intelligent Transportation Systems try to devise more efficient and more reliable solutions for vehicle traffic systems. Many ITS applications rely on short-term predictions of traffic state and it is crucial to provide reliable estimates of the traffic state in near future.Providing an accurate estimate of transportation time in a specific piece of street is a key task in Intelligent Traffic Systems (ITS). This estimate can be either for the moment or a future prediction. A practical ITS must be... 

    Investigation and Comparison of Data Mining Techniques Used for Pharmaceutical Drug Consumption Pattern Prediction

    , M.Sc. Thesis Sharif University of Technology Bastani Allahabadi, Shahrzad (Author) ; Haji, Alireza (Supervisor) ; Fatahi Valilai, Omid (Co-Supervisor)
    Abstract
    Data mining is the process of extracting information from large data sets using algorithms and methods derived from the field of statistics, machine learning and database management systems. Data mining, popularly known as knowledge discovery in big data, enables companies and organizations to make informed decisions by collecting, aggregating, analyzing and accessing company data. The pharmaceutical industry is one of the most important levels of the drug supply chain, which has a significant impact on the healthcare sector of any society. In this context data mining can be used in various procedure such as discovery of a new medicine, sequential registration of clinical trials, combining...