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Browsing International Conference on Computer Applications (ICCA) by Author "Aye, Nilar"

Browsing International Conference on Computer Applications (ICCA) by Author "Aye, Nilar"

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  • Comparasion of Feature Selection Techniques in different Classifiers for predicting Students’ Academic Performance 
    Aye, Nilar (ICCA, 2021-02-25)
    Teaching evaluation is one of the most vital needs that have to be carried out to determine the quality of education in every academic institution. Higher education is mostly assessed by using the students’ grades achieved ...
  • Construction of Knowledge Base and Review Opinion Mining: Crowdsourcing Approach 
    Aye, Nilar; Naing, Thinn Thu (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    This system proposes a framework for knowledge base construction by using crowdsourcing approach. The travel related information is stored in knowledgebase by crowd of people via internet. The system creates domain ...
  • Framework of knowledge base construction using Crowdsourcing Approach 
    Aye, Nilar; Naing, Thinn Thu (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    This paper proposes a framework to construct a knowledge base by using crowdsourcing approach. The various inputs have been asserted into database interactively by crowd of people via internet. The support of travel ...
  • Noise Block Cleaning and Main Content Block Extraction from Dynamic Web Page 
    San, Pan Ei; Aye, Nilar (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Web Information Extraction systems becomes more complex and time-consuming. Web page contains many informative blocks and noise blocks. Noise blocks are navigational elements, templates and advertisements that are not ...
  • Ontology based Opinion Mining with Crowdsourcing Approach for Myanmar Travel Domain 
    Aye, Nilar; Naing, Thinn Thu (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Tourism Industry is a dynamic and competitive business sector that requires updating information continuously to meet customers’ satisfaction. In addition, the industry plays a vital role for the economic growth of the ...
  • Web Content Classification using Content Features and Ant Colony Optimization Algorithm 
    Aye, Nilar; San, Pan Ei (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    The web content classification system classifies the noise or content from HTML web pages. The system proposes the Content Extraction algorithm using content features to remove the boilerplate and to extract the main ...
  • Web page Classification Using Ant Colony Algorithm 
    San, Pan Ei; Aye, Nilar (Thirteenth International Conference On Computer Applications (ICCA 2015), 2015-02-05)
    In this paper we describe the new classification algorithm for web page classification that is ant colony optimization algorithm. The algorithm’s aim is to solve for discrete problem and discreteness of text documents’ ...

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