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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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  • Implementation of a University Decision Support System using OLAP 
    Phwe, Phyu Sin; Kham, Nang Saing Moon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data Warehouse and OLAP processing is one of the powerful tools for knowledge discovery in large complex data. Data warehouse provides online analytical processing (OLAP) tools for interactive analysis of multidimensional ...
  • 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 ...
  • 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 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 ...
  • 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 ...
  • Query Dependent Ranking for Information Retrieval by Using Query-Dependent Loss Function 
    Lwin, Pwint Hay Mar; Kham, Nang Saing Moon (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Ranking is the central problem for information retrieval (IR), and employing machine learning techniques to learn the ranking function is viewed as a promising approach to IR. In information retrieval, the users’queries ...
  • Query-Dependent Ranking for Web Information Retrieval 
    Lwin, Pwint Hay Mar; Kham, Nang Saing Moon (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    In information retrieval, the users’ queries often vary a lot from one to another. Most IR systems use a single fixed ranking strategy to support the information seeking task of all users for all queries irrespective ...
  • RDB-XML Security Model based on Masked Relations 
    Kham, Nang Saing Moon; Thin, Lwin Mar (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Relational databases get more and more employed in order to store the contents of a web site. At the same time, XML is a fast emerging technology, which is the standard of data exchange over the web and due to the new ...
  • Recommender System for Pharmacy Shop By using Item-Based Collaborative Approach 
    Oo, Nwe Ni; Kham, Nang Saing Moon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems use the opinions of a community of users to help individuals in that community more effectively identify content of interest from a potentially overwhelming set of choices. One of the most successful ...
  • Searching Suitable Employee for the Work by Using Partitioning Methods 
    Nwe, Win Hay Mar; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Conventional database query methods are inadequate to extract useful information from huge data banks. Cluster analysis is one of the major data analysis methods, and process of grouping a set of physical or abstract ...
  • Semi-supervised Domain Specified Event Extraction from Social Media 
    Nwe, San San; Kham, Nang Saing Moon (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Social media has quickly become popular as an important means that people, organizations use to spread information of divert events for various purposes, ranging from business intelligence to nation security. However, the ...
  • Shortcut Links Suggestion by Web Usage Mining 
    Hlaing, Ei Mon; Kham, Nang Saing Moon (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Today’s websites are having a lot of small parts or details arranged in a complicated way and are therefore sometimes difficult to understand for the visitors.The web sites designers are faced with increasing ...
  • Studying Email Filtering Approach to Identify Spear Phishing Attacks 
    Mon, Ei Ei; Kham, Nang Saing Moon (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Electronic mail is used daily by millions of people to communicate around the world and it is a critical application for many businesses. Because of the fame of emails, the attackers utilize it to gather the sensitive data. ...

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