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Browsing Fourth Local Conference on Parallel and Soft Computing by Author "Tun, Myint Thu Zar"

Browsing Fourth Local Conference on Parallel and Soft Computing by Author "Tun, Myint Thu Zar"

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  • Aung, May Cho; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data warehousing and on-line processing (OLAP) are essential elements of decision support, which has increasingly become a focus of the educational database for management in computer training center. A data warehouse, a ...
  • Hlaing, Ngu Wah; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    For human beings, one of the most important and essential thing is peaceful and quality living. Therefore, people must be related with architecture for their pleasant life. But, there may be some difficulties and theories ...
  • San, Aye Nyein; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper proposes a method to extract keyword from Web Pages (HTML format paper) automatically. The automatic keyword extraction technique is very important part for the document and web understanding on the ...
  • Theint, Aye Aye; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Email is one of the commonest modes of communication via text. By using email, people are sending and receiving many messages per day and communicating with partners and friends. Most of email data is very noisy. Thus, ...
  • Khaing, Nann Hla; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Search engines play a central role in knowledge acquisition and knowledge transfer in today’s information society. They are large extent responsible for making information on the Internet easily accessible. Web-based ...
  • Yee, Hnin Wut; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A large and growing number of web pages display contextual advertising based on keywords automatically extracted from the text of the page, and this is a substantial source of revenue supporting the web today. Despite the ...

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