UCSY's Research Repository

Browsing Faculty of Information Science Collection by Title

Browsing Faculty of Information Science Collection by Title

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  • Implementation of Movie Recommender System using Association Rule Mining 
    Khine, Wai Wai; Thein, Thinn Lai Lai (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among users' preferences. This paper presents an approach to using data mining for e-commerce. It applies ...
  • Implementation Of Web Usage Mining Using Log Markup Language (LOGML) and Closed Association Rule Mining Algorithm (CHARM) 
    Mhon, Gant Gaw Wutt; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Web usage mining is the discovery of user access patterns from Web usage logs. The paper presents two XML (Extensible Markup Language) 1.0 applications and a web data mining application which utilizes it to extract web ...
  • Implementing Dynamic Traffic Route Guidance System applying Graph Database 
    Kham, Nang Saing Moon; Maw, Sis Hmue (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    All around the world, people experience delays due to bad traffic conditions and finding the best possible roads in road network from given source to given target location is an everyday problem. Graph database technology ...
  • Implementing the Update Propagation Strategies on Replicated Database 
    Mon, Su Su; Oo, Khine Khine (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A distributed database is a database with its data elements stored at several sites of a computer network. Certain data items may be redundantly stored at more than one site for reliability reasons. A replicated database ...
  • Improved Feature-based Summarizing and Mining from Hotel Customer Reviews 
    Nyaung, Dim En; Thein, Thin Lai Lai (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    Due to the rapid increase of Internet, web opinion sources dynamically emerge which is useful for both potential customers and product manufacturers for prediction and decision purposes. These are the user generated ...
  • Information Retrieval from Text Based Document For Famous Bagan Pagodas in Myanmar 
    Zan, Hnin Wai; Thein, Thin Lai Lai (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents information of most famous Bagan pagodas and the similar information of pagodas among the famous Bagan pagodas by using Apriori Algorithm. Nowadays, people are quite busy as they are occupied with their ...
  • Information Security for Secret Data Transmission over Web Services 
    Tin, Lwin Mar; Kham, Nang Saing Moon (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Information hiding technique is becoming a research hotspot in information security, and will be widely used to national security, e-commerce, egovernment, copyright protection and covert communication. This paper ...
  • An Insight of Critical Success Factors for Non-profit Organization ERP Implementation Process 
    Khaing (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Non-Governmental organizations (NGOs) have a significant role in the development of the society because they play a vital role in the interest of general public. There are many problems faced by those NGOs regarding ...
  • Intelligence Routing Plan using K-d tree and Smart-A* with Google Map Data 
    Soe, Nyein Chan; Thein, Thin Lai Lai (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Road traffic congestion or jam is main problem in urban area of both developing and developed countries. In order to solve this problem, traffic congestion states of road networks are estimated so that congested road ...
  • Investigation Features of Identifier Renamings 
    Maw, Myint Myint; Oo, Khine Khine (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    A change made to the internal structure of software to make it easier to understand and cheaper to modify without changing its observable behavior… It is a disciplined way to clean up code that minimizes the chances ...
  • An Investigation into Variants of Great Deluge(GD) for Hyper-Heuristic (HH) Approach 
    Sin, Ei Shwe; Kham, Nang Saing Moon (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today, Hyper-Heuristic is not new in AI Field. It is an emerged search technology to select or generate (new) low level heuristics for combinatorial optimization problem and has been applied in many problem domains: personal ...
  • Location Based Service and Contextual Preference Aware (LBSCPA) System on Mobile Platform 
    Thu, Yin Yin; Kham, Nang Saing Moon (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The explosive growth of location-detection devices, wireless communications, and mobile internet has resulted in the realization of locationbased services as commercial products and research prototypes. Unfortunately, ...
  • Machine Learning Based Android Malware Detection using Significant Permission Identification 
    Kyaw, May Thu; Kham, Nang Saing Moon (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    The increasing popularity of smartphones and tablets has introduced Android malware which is rapidly becoming a potential threat to users. A recent report indicates the alarming growth rate of Android malware in which ...
  • Mandatory Access Control ByBiba Model 
    Zune, Sheilar; Kham, Nang Saing Moon (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Database security and integrity are essential aspects of an organization’s security posture. Database security is the system, processes, and procedures that protect a database from unintended activities. It is important ...
  • Modified-MCA Based Feature Selection Model for Classification 
    Khaing, Myo; Kham, Nang Saing Moon (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    A central problem in machine learning is identifying a representative set of features from which to construct a classification model for a particular task. A good feature set that contains highly correlated features ...
  • Ontology based Recommender System using Content-based Filtering and AHP methods 
    Mon, Shun Ei; Kham, Nang Saing Moon (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Recommender systems on web pages are a subclass of information filtering system that seeks the relevant web pages according to prediction of the 'rating' or 'preference' that a user would give web page. Nowadays, the ...
  • Ontology-based Semantic Text Documents Clustering Using Particle Swarm Optimization 
    Lwin, Wai Wai; Kham, Nang Saing Moon (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    The World Wide Web, the largest shared information source is growing exponentially and the amount of business news on the web is overwhelming and need to be handled properly. As such, grouping the web document into ...
  • Permission-Based Anomalous Application Detection on Android Smart Phone 
    Win, Htet Htet (University of Computer Studies, Yangon, 2019-01)
    Information applications are widely used by millions of users to perform many different activities. Android-based smart phone users can get free applications from Android Application Market. But, these applications were ...
  • Physical Fitness Measurement using Multiple Linear Regression (Case Study of Children and Adolescents) 
    Nway, Zon Nyein; Kham, Nang Saing Moon (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Physical activity is an essential component of a healthy lifestyle. It is clear that physically active people have a lower disease risk than sedentary individuals. Thus the measurement for physical fitness becomes the ...
  • Prediction Online Auction Price Using Functional Data Analysis 
    Lin, May Phyo Wai; Oo, Khine Khine (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The goal of the proposed system is to derive models for forecasting the final price of ongoing auction. The forecasting task is important not only to the participants of an auction who compete against each other for the ...

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