UCSY's Research Repository

Browsing Faculty of Computer Science by Author "Aye, Nilar"

Browsing Faculty of Computer Science by Author "Aye, Nilar"

Sort by: Order: Results:

  • San, Pan Ei; Aye, Nilar (International Journal of Scientific Engineering and Technology Research(IJSERT), 2014-12)
    In this paper we describe the new classification algorithm for web page classification is ant colony optimization algorithm. The algorithm’s aim is to solve for discrete problem and discreteness of text documents’ features. ...
  • San, Pan Ei; Aye, Nilar (International Journal of Advances in Electronics and Computer Science, 2015-03)
    Web pages not only contain main content, but also other elements such as navigation panels, advertisements and links to related documents. To ensure the high quality of web page, a good boilerplate removal algorithm is ...
  • San, Pan Ei; Aye, Nilar (Seventh TheIIER International Conference, Singapore, 2015-01)
    Web pages not only contain main content, but also other elements such as navigation panels, advertisements and links to related documents. To ensure the high quality of web page, a good boilerplate removal algorithm is ...
  • 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 ...
  • 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 ...
  • 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’ ...

Search Repository



Browse

My Account