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Browsing International Conference on Computer Applications (ICCA) by Subject "Machine Learning"

Browsing International Conference on Computer Applications (ICCA) by Subject "Machine Learning"

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  • Mung, Pau Suan; Phyu, Sabai (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Healthcare industry is an ever-increasing rise in the large amount of records such as doctors, patients, medicines and medical history. Although previous medical records are beneficial for not only individual but also ...
  • Than, Moh Moh; Thein, Thandar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Dynamic resource allocation in cloud data centers is a challenging problem. Resource prediction is a key feature for on-demand resource planning and efficient resource management of dynamic workload. This requires a ...
  • Myo, Myint Myat; Thein, Thandar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Cloud computing offer highly scalable, and economical infrastructure for promising heterogeneous platforms and various applications. According to the growing demand nature of cloud infrastructure resources, the cloud ...
  • Thu, Aye Aye; Mya, Khin Than (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Botnets have become one of the major threats on the Internet. They are used to generate spam, carry out DDOS (Distributed Denial of Service) attacks and click-fraud, and steal sensitive information. Nowadays, many ...
  • Phyue, Soe Lai (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    The lexical analysis within the context of language processing is to connect each word with its corresponding label in a lexicon. However, many words have more than one meaning, ambiguity word, which may make it impossible ...
  • Chan, Wint Nyein; Thein, Thandar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Social Media is one of the generating sources of big data and analyzing social big data can provide the valuable information. For analyzing the social big data in an efficient and timely manner, the traditional analytic ...
  • Chan, Wint Nyein; Thein, Thandar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-17)
    Nowadays, Twitter Sentiment analysis has become popular as it helps the organization to determine marketing strategy by providing public opinions. Efficient techniques to collect a large amount of Twitter stream data ...
  • Sint, Hla Sann; Oo, Khine Khine (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    In today's hyper-connected society, understanding the mechanisms of trust is crucial. Trust issues are critical to solving problems. Trust phenomenon has been extensively explored by a variety of disciplines across the ...

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