UCSY's Research Repository

Browsing Faculty of Information Science by Issue Date

Browsing Faculty of Information Science by Issue Date

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  • 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 ...
  • Comparative Study of Big Data Predictive Analytics Frameworks 
    Win, Nay Aung Soe; Thwin, Mie Mie Su (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Big data in terms is the huge volume of data that is difficult to be processed, handled and managed. The term big data is an emerging trend where a number of researches and data scientists are carried out for data ...
  • 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 ...
  • Comparison of Differential Evolution and Back-propagation Algorithms at Training Neural Network 
    Mon, Cho Thel; Thein, Thin Lai Lai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In data mining, multilayer feed-forward networks are one of the most used neural networks in various domains because of their universal approximation capability. Back-propagation (BP) uses two phases, feed-forward and ...
  • 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 ...
  • 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 ...
  • Rule-based Consciousness Expert System by Abhidhamma model with Forward Chaining Technique 
    Htay, Hsu Myat; Oo, Khine Khine (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The Abhidhamma is one of the three parts of the Pali cannon, the Tipitaka, the main texts of Theravada Buddhism and is sometimes described as ‘Buddhist Psychology’ [2]. Human mind is consciousness (citta) and mental ...
  • 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 ...
  • 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, ...
  • 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 ...
  • Web Usage Mining Using Clustering and Association Rule Mining 
    Thwin, Aye Theingi; Kham, Nang Saing Moon (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Data mining methods are used to discover the behaviour of the users. Therefore, the data used for the mining purpose must be qualified for the data cleaning stage and must be considered and planned efficiently to meet ...
  • 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 ...
  • Automatic Skin Lesion Detection Using DWT Thresholding based Otsu Segmentation Method 
    Lwin, Ohn Mar; Thein, Thin Lai Lai (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Skin is exposed to outer environment thus the disease and infection occurs more to skin. Skin cancer is one of the dangerous diseases and the deadliest form is melanoma. There is a need for computerized system to detect ...
  • Eliciting Ideal Candidates for Social Learning on PLE 
    Myint, Zin Thu Thu; Tun, Myint Thu Zar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Personal Learning Environment (PLE) technology is centered on the concept of self-regulated learning that creates responsible learners, who are capable of critical thinking and able to plan their own learning processes. ...
  • Forensic Investigation on Android Social Media Applications 
    Htun, Naing Linn; Thwin, Mie Mie Su (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    The popularity of social media applications has rapidly increased over the past few years. Most people use social media applications for sharing data, chatting with friends, group conversations, uploading photos and media. ...
  • 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, ...
  • GPS Tracking System in Urban Transportation (Yangon) 
    Soe, Nyein Chan; Thein, Thin Lai Lai (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    In recent decades, road transportation systems have become increasingly complex and congested. Traffic congestion is a serious problem that affects people both economically as well as mentally. Road traffic jam is a major ...
  • A Comparison of Naïve Bayes and Random Forest for Software Defect Prediction 
    Soe, Yan Naung; Oo, Khine Khine (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    The software defect can cause the unnecessary effects on the software such as cost and quality. The prediction of the software defect can be useful for the developing of good quality software. For the prediction, the PROMISE ...
  • Deep Learning for Predictive Process Behavior 
    Hnin, Thuzar; Oo, Khine Khine (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Today’s many modern organizations, to get competitive advantages, have been already implemented business process management (BPM). However, as part of a larger business process management initiative, especially predictive ...
  • 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 ...

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