UCSY's Research Repository

Browsing Faculty of Computer Science Collection by Title

Browsing Faculty of Computer Science Collection by Title

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  • 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. ...
  • Clustering Analogous Words in Myanmar Language using Word Embedding Model 
    Mon, Aye Myat; Soe, Khin Mar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Word embedding represents the words in terms of vectors. It is influenced on different NLP research areas such as document classification, author identification, sentiment analysis, etc. One of the most popular embedding ...
  • Clustering Technique based on Concept Weight to Text Documents 
    Tar, Hmway Hmway; Nyunt, Thi Thi Soe (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Documents clustering become an essential technology with the popularity of the Internet. That also means that fast and high-quality document clustering technique play core topics. Text clustering or shortly clustering ...
  • Clustering Technique using Concepts for Web Documents 
    Tar, Hmway Hmway; Nyunt, Thi Thi Soe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Web document clustering becomes an essential technology with the popularity of the Internet. That also means that fast and high-quality document clustering techniques play core topics. One of the main issues for ...
  • Community Detection in Scientific Co-Authorship Networks using Neo4j 
    Aung, Thet Thet; Nyunt, Thi Thi Soe (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Community structure in scientific collaboration network has become an important research area. Coauthor of a paper can be thought of as a collaborative document between more than one authors. Community detection in ...
  • Community Detection in Social Graph Using Nature-Inspired Based Artificial Bee Colony Algorithm with Crossover and Mutation 
    Aung, Thet Thet; Nyunt, Thi Thi Soe; Cho, Pyae Pyae Win (IEEE 4th International Conference on Computer and Communication Systems(2019), 2019)
    Many types of social network are modelled as graphs. Community detection has been an important research area in social graph analysis. Community detection can be viewed as an optimization problem. Nowadays, researchers ...
  • Community Detection in Social Network Using Artificial Bee Colony with Genetic Operator 
    Aung, Thet Thet; Nyunt, Thi Thi Soe (Second International Conference on Advanced Information Technologies (ICAIT 2018), 2018-11-01)
    Community detection (CD) plays an important role in analyzing social network features and helping to find out valuable hidden information. Many research algorithms have been proposed to find the best community in ...
  • Comparative Study of Association Rules Mining 
    Aye, Thi Dar; Soe, Khin Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Association rule mining is a technique to find useful patterns and associations in transactional databases. The mining of association rules can be mapped into the problem of discovering large (frequent) itemsets where ...
  • Comparative Study of Decision Tree Algorithms: ID3 and CART 
    Thu, Su Myat; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification of data objcts based on a predefined knowledge of the objects is a data mining and knowledge management techniques used grouping similar data objects together. It can be defined as supervised learning ...

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