Now showing items 21-33 of 33

    • Movies Recommender Systems Using K-Means Based Methods 

      Kien, Dao The (International University - HCMC, 2018)
      Movies are not unknown entertainment to people in the 21th century. Then a Movie Recommender System is developed to take the huge treasure of movies closer to people over the world. The Movie Recommender System is usable ...
    • Music Recommendation By Using Collaborative Filtering And Cuckoo Search 

      Toan, Do Song (International University - HCMC, 2018)
      In the modern era, the large amount of information has been generated from a lot of resources, such as shopping, entertainment, advertisement, ... on the Internet. Therefore, the search tools like Google, Bing, ...always ...
    • An Ontology based animal dictionary 

      Them, Nghiem Duy (International University - HCMC, 2018)
      As searching demands now need to be more semantic, a new way of information retrieval should be developed..For animals, specifically, there should be a dictionary that can search for the animal we need from its description ...
    • Ontology based respiratory disease database management 

      Nguyen, Le Truong Trong (International University - HCMC, 2019)
      The Industry 4.0 - the new era of digitization has begun in the world in general and in Viet Nam in particular. As a result, the volume of data exploded quickly. Therefore, many companies and business organizations have ...
    • Ontology-based Music Recommender System 

      Huy, Ly Thanh (International University - HCMC, 2018)
      Every single day, a lot of songs were composed in the world. But people just only listen some their favorite songs day by day. They feel hard to find out new songs which they’re really interested in. This is a reason why ...
    • Predicting customer behavior at an online retail store 

      Linh, Tran Phuong (International University - HCMC, 2017)
      Nowadays, the predicting customer behavior is important to increase the selling product at an online retail store. Because the transaction of each customer looks like sequence, one of the approaches to data mining which ...
    • Predicting energy use of household appliances 

      Mai, Tran Nguyen Hien (International University - HCMC, 2019)
      Along with the advancement of technology, the development of household convenience appliances is rapid. The more appliances appear in each household, the more energy they consume. Since details of the energy consuming can ...
    • A reaction-based ensemble machine learning method of determining the heat of formation in chemical systems 

      Thang, Nguyen Viet (International University - HCMC, 2020)
      For a species, Heat of Formation is one of the most critical properties to get a deeper understanding of the behavior of the chemical system. So far, chemists have spent their time to find the suitable approaches by using ...
    • Sentiment analysis and text classification using data mining tools 

      Duy, Tran Duc (International University - HCMC, 2020)
      Sentiment analysis is the interpretation and classification of emotion and opinions from the text. The scale of emotions and opinions can vary from positive to negative and maybe neutral. Customer sentiment analysis helps ...
    • Sentiment analysis for a chatbot 

      Son, Nguyen Quoc (International University - HCMC, 2019)
      The development of tools to improve the education quality is completely essential and beneficial for a range of institutes or universities. Yet, almost no tool seems to automatically and effectively categorize student’s ...
    • Sequence Mining Methods For Movie Recommendation Systems 

      Minh, Nguyen Duy (International University - HCMC, 2018)
      Movie recommender systems assume a critical part in acquainting customers with the most fascinating films productively. It is helpful for users to discover what they need in a huge various of different films on the Web ...
    • Tree-Based Web Page Recommenders System 

      Son, Ngo Hoang Thai (International University - HCMC, 2018)
      Web page recommender systems play an important role in improving website quality. It is helpful for users to discover what they need in a huge various of different web pages rapidly. The execution of web page suggestion ...
    • A web-based class management and assessment system 

      Nhat, Do Minh (International University - HCMC, 2019)
      Class management systems have been developed by various methods, but very few of them are well-developed and efficiently used due to the lack of details and the inability to improve further when many aspects of the systems ...