UCSY's Research Repository

Browsing Faculty of Computer Science Collection by Title

Browsing Faculty of Computer Science Collection by Title

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  • 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 ...
  • Comparison of Apriori Algorithm and Frequent Pattern Growth Approach 
    Maung, Thida Wai; Phyu, Win Lei Lei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining is the process of analyzing large data sets in order to find patterns that can be help to isolate key variables to build predictive models for management decision making. The discovery of interesting ...
  • A Comparison of Big Data Analytics Approaches Based on Hadoop MapReduce 
    Aye, Kyar Nyo; Thein, Ni Lar (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Data continue a massive expansion in scale, diversity, and complexity. Data underpin activities in all sectors of society. Achieving the full transformative potential from the use of data in this increasingly digital world ...
  • Comparison of Boosted C5 over ID3 and C4.5 Abdominal Pain Problem 
    Aye, Hnin Nwe; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification can be used as in the form of data analysis that can be used to extract models describing the important data classes. This aim of this paper is to exmaine the performance of decision tree algorithms. ...
  • A Comparison of Naïve Bayesian and Nearest Neighbor Cosine Classifiers for Myanmar Word Sense Disambiguation 
    Aung, Nyein Thwet Thwet; Soe, Khin Mar; Thein, Ni Lar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    This paper presents Word Sense Disambiguation for Myanmar Language. Word Sense Disambiguation (WSD) is an intermediate but an important step in Natural Language processing. WSD is defined as the task of finding the ...
  • Comparison of Normal Neural Network Ensemble and Clustering Based Neural Network Ensemble 
    Naing, Hnin Hnin; Nyunt, Thi Thi Soe (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Artificial neural networks (ANNs) are computing models for information processing and pattern identification. An ANN is a network of many simple computing units called neurons or cells, which are highly interconnected ...
  • Concept-based Source Code Analysis for Software Maintenance 
    Nyunt, Thi Thi Soe; Phyu, Hnin Pwint (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Designing, understanding and maintaining the source code is a crucial task in reengineering for software maintenance. Formal Concept Analysis (FCA) is a mathematical technique which has been applied in several fields and ...
  • Concurrency Control of a Distributed File System By using 2-Phase Locking 
    Shein, Su Mon; Nwe, Khine Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, distributed system become very popular in the operational environment of computer field. Heart of every distributed system is distributed file system in which informations are separated throughout the network as ...
  • Content-Based Multimedia Information Retrieval for Unstructured Data 
    Aye, Kyar Nyo; Thein, Ni Lar (Ninth International Conference on Computer Applications (ICCA 2011), 2011-03-02)
    The Internet is a huge collection of data that is highly unstructured which makes it extremely difficult to search and retrieve valuable information. Due to the massive number of unstructured data, multimedia search ...
  • Context based Indexing to Support Search Engine 
    Soe, Thinn Lai (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    This system proposes an indexing structure that is built on the basic context document by using semantic suffix tree clustering and context ontology. Context is any information that can be used to characterize the situation ...

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