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Browsing Faculty of Computer Science Collection by Title

Browsing Faculty of Computer Science Collection by Title

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  • Assigning automatically Part-of-Speech tags to build tagged corpus for Myanmar language 
    Myint, Phyu Hninn (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A variety of Natural Language Processing (NLP) tasks, such as named entity recognition, stemming, question answering and machine translation, benefit from knowledge of the words syntactic categories or Part-of-Speech ...
  • Attribute-Oriented Induction based Data Generalization for Relational Databases 
    Oo, Zin May; Phyu, Sabai (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data Mining is the task of discovering interesting patterns from large amounts of data where the data can be stored in relational databases. Data generalization is a process that abstracts a large set of data in a ...
  • Automatic Extraction of Data Record from Web Page based on Visual Features 
    Hlaing, Nwe Nwe; Nyunt, Thi Thi Soe (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    The Web is increasingly becoming a very large information source. However, the information is visually structured such that it is easy for humans to recognize data records and presentation patterns, but not for computers. ...
  • Automatic Mining of Verb Affixes for Myanmar Language with Unsupervised learning by using N-Grams 
    Than, Shalle Soe; Pa, Win Pa (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A separable verb is a verb that is composed of a verb stem and a separable affix which is called verb affixes. Mining of verb affixes is to extract the various forms of verb affixes from any Myanmar sentences. A Method ...
  • Automatic Myanmar News Classification 
    Nwet, Khin Thandar; Khine, Aye Hnin; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Text classification is one of the major tasks of natural language processing and included in the interesting research areas of text data mining, which is about looking for patterns in natural language text. This ...
  • Automatic Myanmar Text Summarization System 
    Soe, Khin Mar; Htay, Hla Hla; Kyaw, Win Thuzar (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Automatic text summarization is used as a tool to help people in reducing the time spent manually extracting the main ideas from text documents. If the natural disaster news is provided as the summary form including important ...
  • Automatic Speech Recognition on Spontaneous Interview Speech 
    Naing, Hay Mar Soe; Pa, Win Pa (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    This paper presents a spontaneous speech recognition system for Myanmar language. Automatic speech recognition (ASR) on some controlled speech has achieved almost human performance. However, the performance of spontaneous ...
  • Automatic Text Classification in Conference Management System using Naïve Bayesian learning and Information Gain 
    San, Pan Ei (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    This paper presents an automatic text classification system enhanced conference management system. A conference management system is a digital library of a particular conference, where users provide, route and seek for ...
  • Big Data Analytics for Healthcare Services Using C4.5 Algorithm on Map Reduce 
    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 ...
  • Big Data Analytics for Price Prediction 
    Khine, Kyi Lai Lai; Nyunt, Thi Thi Soe (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Big Data Predictive Analytics is influenced in the financial market mainly in stock exchange with its emerging technologies. Stock Market Prediction has always been one of the hottest topics in research, as well as a ...
  • Big Data Analytics for Rainfall Prediction using MapReduce-Based Regression Model 
    Khine, Kyi Lai Lai; Nyunt, Thi Thi Soe (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    The most significant climatic element which impacts on agriculture sector is rainfall and rainfall prediction becomes an important issue in agriculture country like Myanmar. Collecting, storing and processing of huge ...
  • Big Data Analytics on Large Scale Shared Storage System 
    Aye, Kyar Nyo; Thein, Ni Lar (Tenth International Conference on Computer Applications (ICCA 2012), 2012-02-28)
    In today’s world, almost every enterprise is seeing an explosion of data. They are getting huge amount of digital data generated daily. Such huge amount of data needs to be stored for various reasons. Now the important ...
  • Big Data Clustering using Parallel Differential Evolution Algorithm 
    Cho, Pyae Pyae Win; Nyunt, Thi Thi Soe (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Clustering is the task of discovering group of similar objects or items and there have been many applications for clustering such as image segmentation, document retrieval and data mining. The increasing volumes of ...
  • Boilerplate removal and Content Extraction from Dynamic Web Pages 
    San, Pan Ei (International Journal of Computer Science, Engineering and Applications (IJCSEA), 2014-12)
    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 ...
  • Building Domain Ontology based on Formal Concept Analysis 
    Shein, Khin Phyu Phyu; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    There has been a growing concern on ontology due to its ability to explicitly describe data semantics in a common way, independently of data source characteristics, providing a schema that allows data interchanging among ...
  • Building HMM-SGMM Continuous Automatic Speech Recognition on Myanmar Web News 
    Mon, Aye Nyein; Pa, Win Pa; Thu, Ye Kyaw (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Myanmar language is a tonal and analytic language. It can be considered as an under-resourced language because of its linguistic resource availability. Therefore, speech data collection is a very challenging task in ...
  • Building Large Scale Text Corpus for Joint Word Segmentation and Part-of-Speech Tagging of Myanmar Language 
    Dim Lam, Cing; Soe, Khin Mar (Proceedings of the 10th International Workshop on Computer Science and Engineering, 2020-02-28)
    In Natural Language Processing (NLP), Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP’s preprocessing work applications such as machine translation ...
  • Classification Analysis using Back Propagation Neural Network and Radial Basis Function Neural Network 
    Lab, Ya Min Su; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Neural networks are a very popular data mining, classification and image processing tool.The fundamental concept of neural networks is the structure of the information processing system composed of a large number of ...
  • Classification of Acute Upper Gastrointestinal Bleeding based on Rough Neural Network 
    Aung, Su Mon; Pa, Win Pa (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The main emphasize of paper is the classification of Acute upper Gastrointestinal Bleeding based on Rough neural network. Classification is used to extract model describing important and data classes or future data ...
  • Classification of Web pages using TF-IDF and Ant Colony Optimization 
    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. ...

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