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Browsing Faculty of Information Science Collection by Author "Kham, Nang Saing Moon"

Browsing Faculty of Information Science Collection by Author "Kham, Nang Saing Moon"

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  • Analysis of Physical Health by Estimating Physical Working Capacity 
    Nway, Zon Nyein; Kham, Nang Saing Moon (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    It is clear that physically active people have a lower disease risk than the others who don’t have. Nowadays, the components of activity which determine particular health gains are poorly understood. Thus the analysis for ...
  • Analyzing Transaction database using Fast Online Dynamic-Growth (FOLD-growth) algorithm 
    Hlaing, May Me Me; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data mining is the process of analyzing large data sets in order to find patterns. Mining frequent patterns is a fundamental and crucial task in data mining problems. The association rule mining is needed in order to ...
  • Application of RFID based Student Attendance System using Cloud Storage and IOT 
    Mon, Soe Soe; Kham, Nang Saing Moon; Aung, Than Htike (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    In current years, there have been development of the number of intelligent tools based Radio Frequency Identification (RFID). RFID systems have been used successfully working to many areas such as transport, health ...
  • Applying Agent and Multi-agent to Medical Field 
    Chaw, Ei Ei; Kham, Nang Saing Moon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The adoption of agent technologies and multiagent constitutes an emerging area in bioinformatics. Artificial Intelligence and knowledge based systems are assuming an increasingly important role in medicine for ...
  • An Approach for Large Scale Schema Matching by using Ontology 
    Hlaing, Su Su; Kham, Nang Saing Moon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Schema Matching can be efficiently done by using ontology concepts. Ontology matching is one of the well known topics of Semantic Web research. With the development and the use of a huge variety of data (e.g. DB schemas, ...
  • Case-Based Reasoning for Classification of Acute Poisoning 
    Aung, Myat Soe; Kham, Nang Saing Moon (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Case based reasoning (CBR) is very important subfield of artificial intelligence which is growing rapidly. CBR based applications are used very commonly in many different fields. In this paper, we present classification ...
  • Classifying Textual Documents Using Two Dimensional Probabilistic Model 
    Than, Wai Me Me; Kham, Nang Saing Moon (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    This paper presents the probabilistic model named Twodimensional Probabilistic Model (2DPM). In this model, terms are seen as disjoin events, and terms and categories are realeated to each other. Since the documents are ...
  • A Comparative Study on Transaction Database Mining Algorithms 
    Soe, Hay Mar; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Association Rules is the process of identifying relationships among set of items in transaction database. Finding frequent itemsets is the most expensive step in Association rule discovery. Real world datasets are ...
  • Decision Support System for Department of Health by using Data Warehouse & OLAP Techniques 
    Tun, Than Lin; Kham, Nang Saing Moon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Since the introduction of computer system, decision support has evolved greatly. Originally computer systems produced paper reports. The emerging technologies of data warehousing and OLAP have changed the way that organization ...
  • Decision Support System using Analytic Hierarchy Process(AHP) on Multiagent System 
    Oo, Myat Noe; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Electronic commerce (e-commerce) has changed the outlook of traditional business trading behavior. E-commerce includes different types of activities related to the online sales of goods and services. In this paper, ...
  • Dengue Haemorrhagic Fever Diagnosis by using Case-Based Reasoning 
    San, Aye Aye; Kham, Nang Saing Moon (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Case-based reasoning (CBR) has become a successful technique for developing medical diagnosis systems. CBR is an approach to knowledge-based problem solving and decision support. This paper presents CBR methodology and ...
  • An Efficient Approach for Web Data Extraction 
    Htwe, Thanda; Kham, Nang Saing Moon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Most of the Web page typically contains clutter unlike conventional data or text. It usually has such noise data as navigation panels, copyright and privacy notices, and advertisement. These noise data can seriously ...
  • EGD Based Hyper Heuristic System for Scheduling Problem 
    Sin, Ei Shwe; Kham, Nang Saing Moon (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Nowadays, scheduling problems such as employee scheduling, university timetabling, arise in almost all areas of human activity. In the literature, there are many methods to solve it. Some of the most effective techniques ...
  • Email Encryption with Linear Congruential Generator 
    Kyaw, Phyo Wai; Kham, Nang Saing Moon (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    E-mail is widely used all over the world in various fields such as economic, office, personal case and so on. It is easy to transport data from place to place in a short time. E-mail has become one of the most important ...
  • Enhancing Neural Network Training by Using Artificial Bee Colony Algorithm 
    Thuzar, Pyae Phyo; Kham, Nang Saing Moon (2017-12-27)
    Multilayer feedforward networks are one of the most used neural networks in various domains because of their universal approximation ability. One of the popular algorithms for training multilayer feedforward network ...
  • FAQ Finder for Computer Related Questions 
    Oo, Lwin Mar; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper presents Frequently Asked Question (FAQ) finder system that uses a natural language question based on interface to access text information sources specifically text files organized as question-answer pairs ...
  • Feature Extraction for Effective Malware Characterization in Android Malware Detection Framework 
    Kyaw, May Thu; Kham, Nang Saing Moon (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Today, mobile devices have become a widely used for personal and business purposes. Because of the popularity of mobile application, inexpensive ways for people to communicate and share information, they become the ...
  • Frequent Pattern Mining for Stream Data by Using Hadoop GM-Tree and GTree 
    Aung, Than Htike; Kham, Nang Saing Moon (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Since origination of mining, frequent pattern mining has become a mandatory issue in data mining. Transaction process for mining pattern needs efficient data structures and algorithms. This system proposed tree structure, ...
  • Hybrid Intrusion Detection System Design for Advanced Threats 
    Htwe, Thet Thet; Kham, Nang Saing Moon (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Due to the increase in the use of internet and rise in number of network attacks, intrusion detection has become significant research issue. The objective of this work is to propose a hybrid intrusion detection system ...
  • Implement a Secure Method of Privacy-conscious Approach on SQL Query using bb-PIR 
    Nway, Zon Nyein; Kham, Nang Saing Moon (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Private retrieval of public data is important when a client wants to query a public data service without revealing the query to the server. So, we want to use a practical and flexible approach for the private retrieval ...

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