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Browsing International Conference on Computer Applications (ICCA) by Author "Kham, Nang Saing Moon"

Browsing International Conference on Computer Applications (ICCA) by Author "Kham, Nang Saing Moon"

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  • Modified-MCA: An Effective Feature Selection 
    Khaing, Myo; Kham, Nang Saing Moon (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Feature selection is often an essential data processing step prior to applying a learning algorithm. The removal of irrelevant and redundant information improves the performance of machine learning algorithms. In this ...
  • Ontology-based Semantic Text Documents Clustering Using Particle Swarm Optimization 
    Lwin, Wai Wai; Kham, Nang Saing Moon (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    The World Wide Web, the largest shared information source is growing exponentially and the amount of business news on the web is overwhelming and need to be handled properly. As such, grouping the web document into ...
  • Physical Fitness Measurement using Multiple Linear Regression (Case Study of Children and Adolescents) 
    Nway, Zon Nyein; Kham, Nang Saing Moon (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Physical activity is an essential component of a healthy lifestyle. It is clear that physically active people have a lower disease risk than sedentary individuals. Thus the measurement for physical fitness becomes the ...
  • Query Dependent Ranking based on PCA-based Query Representation 
    Lwin, Pwint Hay Mar; Kham, Nang Saing Moon (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Ranking is a crucial part of information retrieval. Queries describe the users’ search intent and therefore they play an essential role in the context of ranking for information retrieval. The diverse feature impacts ...
  • Query Dependent Ranking for Information Retrieval Based on Query Clustering 
    Lwin, Pwint Hay Mar; Kham, Nang Saing Moon (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Ranking is the central problem for information retrieval (IR), and employing machine learning techniques to learn the ranking function is viewed as a promising approach to IR. In information retrieval, the users’ ...
  • Query Dependent Ranking for Information Retrieval by Using Query-Dependent Loss Function 
    Lwin, Pwint Hay Mar; Kham, Nang Saing Moon (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Ranking is the central problem for information retrieval (IR), and employing machine learning techniques to learn the ranking function is viewed as a promising approach to IR. In information retrieval, the users’queries ...
  • Query-Dependent Ranking for Web Information Retrieval 
    Lwin, Pwint Hay Mar; Kham, Nang Saing Moon (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    In information retrieval, the users’ queries often vary a lot from one to another. Most IR systems use a single fixed ranking strategy to support the information seeking task of all users for all queries irrespective ...
  • RDB-XML Security Model based on Masked Relations 
    Kham, Nang Saing Moon; Thin, Lwin Mar (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Relational databases get more and more employed in order to store the contents of a web site. At the same time, XML is a fast emerging technology, which is the standard of data exchange over the web and due to the new ...
  • A Secure and Cost-effective Framework for Semi-trusted Database 
    Thin, Lwin Mar; Kham, Nang Saing Moon (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Database security has become a vital issue in modern Web applications. Critical business data in databases is an evident target for attack. Database encryption has become a critical technique in the security mechanisms ...
  • Secure Information Hiding in SOAP Messages Using Cryptography and Steganography 
    Thin, Lwin Mar; Kham, Nang Saing Moon (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Computer techniques are progressing remarkably and the amount of electronically transmitted information is increasing every day. Different security measures can be employed to ensure the integrity and confidentiality ...
  • Semi-supervised Domain Specified Event Extraction from Social Media 
    Nwe, San San; Kham, Nang Saing Moon (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Social media has quickly become popular as an important means that people, organizations use to spread information of divert events for various purposes, ranging from business intelligence to nation security. However, the ...
  • Studying Email Filtering Approach to Identify Spear Phishing Attacks 
    Mon, Ei Ei; Kham, Nang Saing Moon (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Electronic mail is used daily by millions of people to communicate around the world and it is a critical application for many businesses. Because of the fame of emails, the attackers utilize it to gather the sensitive data. ...
  • Web Documents Clustering Using PSO Algorithm and Ontology 
    Lwin, Wai Wai; Kham, Nang Saing Moon (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    The largest shared information source, the World Wide Web has been increasing a tremendous proliferation in the amount of information rapidly. As a result of its huge sharing and highly dynamic data, there is a ...

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