UCSY's Research Repository

Browsing by Author "Oo, Mi Khine"

Browsing by Author "Oo, Mi Khine"

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  • THE CORRELATED TOPIC MODEL FOR PAPER RECOMMENDATION SYSTEM IN MAPREDUCE FRAMEWORK 
    Oo, Mi Khine (University of Computer Studies, Yangon, 2022-04-21)
    The emergence of internet technology provides access to an endless supply of data, information and knowledge to many different areas. Since the amount of digital information has been increased rapidly day by day, ...
  • Correlated Topic Modeling for Big Data with MapReduce 
    Oo, Mi Khine; Khine, May Aye (IEEE 7th Global Conference on Consumer Electronics (IEEE GCCE 2018), Nara, JAPAN, 2018-10)
    Efficient extraction of useful information is a rising problem in Big data, since the amount of information being gathered across various domains grows with an increasing rate. So, it takes more time to understand ...
  • Science-related Articles Recommendation System from Big Data 
    Oo, Mi Khine; Khaing, Myo Kay (14th International Conference on Computer Applications (ICCA 2016), Yangon, MYANMAR, 2016-02)
    Under the explosive increase of global data, the term Big data is mainly used to describe enormous datasets. With the availability of increasingly large quantities of digital information, it is becoming more difficult ...
  • Topic Extraction of Crawled Documents Collection using Correlated Topic Model in MapReduce Framework 
    Oo, Mi Khine; Khine, May Aye (International Journal on Natural Language Computing (IJNLC), 2019-12)
    The tremendous increase in the amount of available research documents impels researchers to propose topic models to extract the latent semantic themes of a documents collection. However, how to extract the hidden topics ...

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