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Browsing Faculty of Information Science Collection by Title

Browsing Faculty of Information Science Collection by Title

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  • Decision in Planning Ceremony Using Decision Tree 
    Sin, Yi Mon Shwe; Thein, Thin Lai Lai (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper implements the planning ceremony by using decision tree induction algorithm. Nowadays, ceremonies are held by many people in various form such as wedding, birthday, promotions, award and so on. Since there 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, ...
  • 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 ...
  • 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 ...
  • Effective Anomaly Detection Using Hidden-Semi Markov Model 
    Wutyi, Khaing Shwe; Thwin, Mie Mie Su (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    Anomaly detection studies the normal behavior of the monitored system and then looks out for any difference in it to detect anomalies or attacks. It is able to detect new attacks as any attack is assumed to be different ...
  • Effective Informative Content Extraction: Segmentation of Web Page into Semantic Blocks 
    Win, Chaw Su; Thwin, Mie Mie Su (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Web pages consist of both informative and non-informative content for the users. Web Page Indexing System, Web Page Classification and Clustering System and Web Information Extraction System that help the users to support ...
  • Effective Multi-View for Human Activity Recognition on Skeletal Model 
    Win, Sandar; Thein, Thin Lai Lai (Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020), 2020-02-28)
    The recognition of 3D human pose from 2D joint location is fundamental to numerous vision issues in analysis of video sequences. Various methods using with skeletal model have been described in past decades, but there ...
  • 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 ...
  • Efficient Data Partitioning for Entity Resolution Systems 
    Mon, Aye Chan; Thwin, Mie Mie Su (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Entity Resolution is the task of identifying duplicated records that refer to the same real-world entity. It is costly process that can take up to days for large datasets. Various Blocking Methods have been applied in ...
  • 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 ...
  • 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. ...
  • 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 ...
  • Feature-based Ranking of Opinion Mining System from Customer Reviews 
    Thein, Thin Lai Lai; Nyaung, Dim En (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Nowadays, online customer reviews become a significant informative resource due to the rapid development of web. In a webpage, the reviews are written in natural language and are unstructuredfree- texts scheme. To ...
  • 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 ...

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