Conferences: Recent submissions

  • Correlation Coefficient-based K-means Clustering for K-NN 
    Aung, Swe Swe; Nagayama, Itaru; Tamaki, Shiro (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    K-nearest neighbor algorithm is one of the most popular classifications in machine learning zone. However, as k-nearest neighbor is a lazy learning method, when a system bases on huge amount of history data, it faces ...
  • Mitigation for Flooding Attack in Cluster-Based Wireless Sensor Network using Authentication Technique 
    Maw, Tin Win; Zaw, Myo Hein (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Today’s world is experiencing many natural disasters like earthquakes, flooding, Tsunamis and forest firing, etc. Therefore, it is not only necessary to use widely Wireless Sensor Networks in the hostile environments all ...
  • Fault Recovery Using Low-Energy Adaptive Clustering Hierarchy Protocol in Wireless Sensor Networks 
    Zaw, Win; Min, Hla Yin (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Wireless sensor network (WSN) are becoming more attractive due to the low cost deployment, small size, low energy consumption and simple operation. Sensors energy cannot support long haul communication as changing energy ...
  • Information Extraction from Social Media 
    Nwe, San San; Tun, Khin Nwe Ni (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    With the proliferation of social media sites, such as Twitter, Facebook, and LinkedIn, social streams have proven to contain the most up-to-date information on current events. Therefore, it is crucial to extract activities ...
  • A Graph-theoretic Framework for Multi-layered k-community Clique Relaxation 
    Khaing, Soe Soe; Yin, Zin Mar (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    In network-based data mining, clique percolation brings an attractive feature for finding communities in a graph as well as the overlapping areas of these communities. Despite complete clique formalization, some of the ...
  • Sentiment Analysis for Twitter Stream Data by Combining Lexicon and Machine Learning Approaches 
    Chan, Wint Nyein; Thein, Thandar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-17)
    Nowadays, Twitter Sentiment analysis has become popular as it helps the organization to determine marketing strategy by providing public opinions. Efficient techniques to collect a large amount of Twitter stream data ...
  • Facebook for Student Success: a preliminary study 
    Gray, Heather (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Integrating the use of Facebook to support student learning and improve student success, is a challenge academics are currently facing. While this may not be crucial in an in-person setting, for students who are studying ...
  • Generating a public key from voice biometric to enhance the security 
    Myint, May Thu (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    In this paper, we motivate and summarize our work on repeatedly generating cryptographic keys from audio files that are user input. Then, the processing steps for the speaker's signal which is used to produce the public ...
  • Construction of Knowledge Base and Review Opinion Mining: Crowdsourcing Approach 
    Aye, Nilar; Naing, Thinn Thu (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    This system proposes a framework for knowledge base construction by using crowdsourcing approach. The travel related information is stored in knowledgebase by crowd of people via internet. The system creates domain ...
  • Context based Indexing to Support Search Engine 
    Soe, Thinn Lai (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    This system proposes an indexing structure that is built on the basic context document by using semantic suffix tree clustering and context ontology. Context is any information that can be used to characterize the situation ...
  • 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 ...
  • TwitPre: Tweets Preprocessing Tool for Social Media Analysis 
    Thu, Pyae Phyo; Nwe, Nwe (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Ever escalating usage of social media brings as a powerful communication and information sharing tool used by millions of people around the world to post how they feel and what is happening now. It turn into a potential ...
  • Analyzing, Visualizing, and Searching for small size Balanced sets 
    Cuong, Nguyen Phu; Nedev, Zhivko; Tin, Duong Trung; Tu, Le Anh (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    We describe the design and implementation of a computer application that can search for a small size balanced set modulo p, with p prime. Additionally, the application can”analyze” and ”visualize” any given balanced set ...
  • Lexicon Based Sentiment Analysis of Students’ Feedback Comments 
    Aung, Khin Zezawar; Myo, Nyein Nyein (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Sentiment analysis is used to determine sentiments, emotions and attitude of user. In educational evaluation, sentiment analysis is implemented in teaching evaluation in order to explore the answers obtained from ...
  • A Mechanism for Prevention of Black Hole Attack in Mobile Ad-hoc Network 
    Khin, Ei Ei; Phyu, Thandar (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    A mobile ad-hoc network (MANET) is an autonomous wireless system which consists of several mobile nodes to form an arbitrary and temporary network. As the lack of infrastructure network, MANETs are facing various severe ...
  • Content Driven Tweets Annotation during Natural Disasters 
    Win, Si Si Mar; Aung, Than Nwe (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Nowadays, Twitter, Social Networking Site, becomes most popular microblogging service and people have started publishing data on the use of it in natural disasters. Twitter has also created the opportunities for first ...
  • New Hybrid Signcryption Approach: Efficient Digital Envelope Signcryption 
    Aye, The' Seint; Soe, Than Naing (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    In the study of Cryptography, the most important and widely studied are confidentiality and integrity. Confidentiality is supported by encryption schemes, while integrity is provided by digital signature schemes. Drawback ...
  • Hybrid approach to Non-Replicated Dynamic Fragment Allocation in Distributed Database Systems 
    Lwin, Nang Khine Zar; Naing, Tin Myint (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Distributed Database has been used as the most essential technology for business organizations in recent years. The data allocation is a critical issue in distributed database design. Allocation of data among different ...
  • Detecting the Correlated Region by Sub pixel Registration Approach of Newton Raphson Method 
    Thinzar, Cho (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    This paper intends to describe the process of Digital Image Correlation (DIC) and to find the pixel correlation among the images accurately when they are moved and deformed. It is a popular and effective tool for the ...
  • Automatic geometrical registration for coarse rural SAR images 
    Lee, Wookyung; Kim, Ah-Leum (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    The fusion of images from the optical and SAR sensors enables an effective analysis by complementing the weakness of each other. However, unlike optical image, geometrical distortions commonly occur during image acquisition ...

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