UCSY's Research Repository

Browsing Faculty of Computer Science by Issue Date

Browsing Faculty of Computer Science by Issue Date

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  • Using Ontology for Electronic Commerce System 
    Lwin, Hnin Thant; Mya, Aye Pa Pa (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, information system has been developed and played key role in live of human beings. By applying the developme nt of information system, user can search the desired information from the inter net . However, user ...
  • Decision Support System for Taking Actions to Staffs Using Cased Based Reasoning 
    Aye, Khaing Zar; Pa, Win Pa (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A decision support system a case-base of previously taken actions and a record of previous taking action processes can assist Administrators in deciding and solving problem cases of staffs in new cases. This system suggests ...
  • Multi-category Classification of Web Pages by using Random Forest Classifier 
    Aung, Win Thanda; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    To classify Web objects into predefined semantic structure is called the Web Page classification. One of the most essential technique for Web Mining is the automatic web page classification given that the web is a huge ...
  • Development of Staff Information Management System for Ministry of Defence 
    Khaing, Lay Sapal; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This system will focus on Government Staff Payroll and Staff Information System. This system is intended to implement the management information system for admin section (payment & staff duties management) Accounts Department ...
  • Generating Relational Schema Depend on XML Document 
    Kyu, Zin Mar; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    XML has become the important standard for data denotation and exchange in the web. One of the most popular used of XML is as a data storage facility. The initial purpose is to store XML data into relational database without ...
  • Query Processing and Analysis from Distributed Data Warehouses 
    Htun, Khine Ohnmar; Phyu, Win Lei Lei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data warehouses must have efficient Online Analysis Processing (OLAP) that provides tools to satisfy the information needs of business managers, helping then to make faster and more effective decisions. The increasing use ...
  • Security of Healthcare System using Role-Based Access Control 
    Tun, Khin Myaing Myaing; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Today, security is recognized as an absolute need in application development. The healthcare sector deals with very sensitive data, patient’s medical records need to be kept confidential; hence, security is very important. ...
  • Suggesting Mode of Delivery by Using Iterative Dichotomiser3 (ID3) Algorithm 
    Aye, Yin Mon; Nwe, Khine Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining is a process that has a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions. Classification is the process of finding a set of models that ...
  • Error Detection Of HTML Code Using Pushdown Automata (PDA) 
    Aung, Thida; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Pushdown Automata (PDA) is one of the hierarchies of automata theory models appropriate for the design of compiler. This system implemented to detect the compile errors of the HTML program when basic beginners who write ...
  • Web-Based Medical Diagnosis of Renal Diseases Using Case Based Reasoning 
    Yu, Tin Tin; Phyu, Win Lei Lei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    As the web technology grow rapidly, many people take a great interest web-based methods and it is increasingly used to improve the quality of the medical services. Case Based Reasoning (CBR) is the process of solving a ...
  • Discovering Informative Content Blocks for Efficient Web Data Extraction 
    Hlaing, Nwe Nwe; Nyunt, Thi Thi Soe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    As web sites are getting more complicated, the construction of web information extraction systems becomes more troublesome and timeconsuming. A common theme is the difficulty in locating the segments of a page in which ...
  • Applying Case-Based Reasoning Technology in Electronic Commerce Environment 
    San, Nyein Ei; Phyu, Win Lei Lei (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Case-based reasoning technology opens a very promising and enriching field for electronic commerce application, medical diagnosis, knowledge management, process control and so on. Case-based reasoning (CBR) is an ...
  • 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 ...
  • Online Book Ordering System Using Multi-Agent 
    Zin, Khaing May; Nwe, Khine Moe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    With the rapid development particularly in online industry, the amount of the online users is also dramatically increased. Online shopping and online ordering system is very popular nowadays. Therefore, the information ...
  • 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 ...
  • Text Normalization and Classification System for Internet Forum 
    Htet, Ya Min; Nyunt, Thi Thi Soe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Internet forum is one of the most common modes of knowledge sharing through text. An internet forum is an online discussion site. From a technical point of view, forums are web applications managing user-generated text ...
  • 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 ...
  • 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 ...
  • Implementation of focused crawler by using machine learning approach 
    Ye, Yamin Shwe; Soe, Khin Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The rapid growth of web generated on the internet by millions of users poses many challenges for general purpose search engines (for example, scaling).Typically a general purpose search engine consists of three main ...
  • 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 ...

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