• Overlapping Community Detection in Social Networks by Local Expansion 

  Win, Eaint Mon (University of Computer Studies, Yangon, 2023-09)

  Community structure is one of the main structural features of networks and detecting overlapped community structure is an important field in social network analysis. There are many methods for finding non-overlapping ...
• OPINION MINING SYSTEM OF CUSTOMER REVIEWS BY USING FEATURE EXTRACTION 

  LWIN, NANDAR MOH MOH (University of Computer Studies, Yangon, 2023-07)

  Due to the dramatic improvement of ecommerce, web sources which are important for both potential customers and service providers rapidly emerge in prediction and decision purposes. Opinion mining techniques become popular ...
• THE CAR INSURANCE CLAIM PREDICTION SYSTEM BY USING MACHINE LEARNING ALGORITHMS ON APACHE SPARK PLATFORM 

  Ko, Thein Than (University of Computer Studies, Yangon, 2023-05)

  Car insurance companies face a major challenge in dealing with insurance claims, which are prone to fraud and increasing in volume. This makes it difficult for insurers to classify claims during the review process. To ...
• CLASSIFICATION OF BANK MARKETING DATA USING SUPPORT VECTOR MACHINE 

  Khin, Ei Ei (University of Computer Studies, Yangon, 2023-05)

  Nowadays, banking system plays an important role of financial sectors all over the world. The more accurate predictive modeling system is required for their services or products in the banking industry. Bank workers ...
• SENTIMENT ANALYSIS OF MYANMAR NEWS AND COMMENTS USING SUPPORT VECTOR MACHINE 

  Yu, Thein (University of Computer Studies, Yangon, 2023-04)

  As the development of internet technology is raising, the volume of information used for the internet users also increase in the web. Users can apply that information and give opinions for decision making system. ...

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