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  • Building Association Rule Mining System By Using Prime Number Based Apriori Algorithm 
    Myat, Khin Wah Wah (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Association rule mining is finding frequent patterns, association, correlations among sets of items or object in transaction databases, relation databases, and other information repositories . Association rule mining ...
  • Building Domain Ontology based on Formal Concept Analysis 
    Shein, Khin Phyu Phyu; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    There has been a growing concern on ontology due to its ability to explicitly describe data semantics in a common way, independently of data source characteristics, providing a schema that allows data interchanging among ...
  • Building HMM-SGMM Continuous Automatic Speech Recognition on Myanmar Web News 
    Mon, Aye Nyein; Pa, Win Pa; Thu, Ye Kyaw (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Myanmar language is a tonal and analytic language. It can be considered as an under-resourced language because of its linguistic resource availability. Therefore, speech data collection is a very challenging task in ...
  • Building Item–based Recommender System for Ladies' wear Personalization Service 
    Win, Nwe Nwe; Saw, Nang Tom Hawm (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In recent years, the need for personalized service has been increased. However, personalization services must be improved to lighten user's burden in the process of personalization and produce results that are more adaptable. ...
  • Building Large Scale Text Corpus for Joint Word Segmentation and Part-of-Speech Tagging of Myanmar Language 
    Dim Lam, Cing; Soe, Khin Mar (Proceedings of the 10th International Workshop on Computer Science and Engineering, 2020-02-28)
    In Natural Language Processing (NLP), Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP’s preprocessing work applications such as machine translation ...
  • Building Myanmar, Myanmar Sign and Japanese Languages Dictionary Based on Ontology 
    Lin, Nu Nan Dar; Thu, Ye Kyaw; Matsumoto, Mitsuji; Urano, Yoshiyori (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    The World Wide Web is an information resource with virtually unlimited potential. However, this potential is relatively untapped because locating relevant information can often be time consuming and fruitless. If ...
  • Building Ontology for Toponyms as a component of Automatic Myanmar Text Summarization System 
    Kyaw, Win Thuzar; Thein, Ni Lar; Htay, Hla Hla (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Since people have to accept enormous information nowadays, they are unmanageable to absorb the main themes of their interested articles. More and more information are overloaded, Automatic Text Summarization (ATS) ...
  • Building Speaker Identification Dataset for Noisy Conditions 
    Phyu, Win Lai Lai; Pa, Win Pa (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Speech signal processing plays a crucial role in any speech-related system whether Automatic Speech Recognition or Speaker Recognition or Speech Synthesis or something else. Burmese language can be considered as an ...
  • Building Word-Aligned Bilingual Corpus for Statistical Myanmar-English Translation 
    Nwet, Khin Thandar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In recent years statistical word alignment models have been widely used for various Natural Language Processing (NLP) problems. In this paper we describe our work in constructing an aligned English-Myanmar parallel ...
  • Building Word-Aligned Bilingual Corpus for Statistical Myanmar-English Translation 
    Nwet, Khin Thandar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In recent years statistical word alignment models have been widely used for various Natural Language Processing (NLP) problems. In this paper we describe our work in constructing an aligned English-Myanmar parallel ...
  • Business Process Modeling for Web-services Orchestration 
    Phyu, Khaing May; Saw, Nang Tom Howm (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The concept of a Service-Oriented Architecture (SOA) is the latest design paradigm for IT systems. The aim is to use Web services as the basic building blocks, which provide reusable functionalities that are invocable ...
  • Buyer Interface System for Electronic Shopping Assistant 
    Khaing, Aye Aye; Khaing, Daw (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Most of the electronic stores have a problem when interacting with their customer to sell the goods. They have to make a lot of conversation with customer, discussing the requirement of the customer and the availability ...
  • CACHE COHERENCY CONTROL BY USING MOESI PROTOCOL IN ONLINE DOCTOR APPOINTMENT 
    Zaw, Thura (University of Computer Studies, Yangon, 2022-09)
    The rapidly growth of internet and the World Wide Web have made the possible for millions of users to gain access to geographically distributed web content. However, raising the population of online users and the ...
  • Camera Shopping Data Analysis using OLAP Model 
    Wai, Soe Nu; Cho, Aung (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, many commercil products and services are available, and all of the principal database management system vendors now have offering in business areas. Readity available high-quality information is very important ...
  • Cancer Diagnosis Using K-Means Clustering 
    Mon, Aye Chan (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The proliferation, ubiquity and increasing power of computer technology has aided data collection, processing, management and storage. However, the captured data needs to be converted into information and knowledge to ...
  • THE CAR INSURANCE CLAIM PREDICTION SYSTEM BY USING MACHINE LEARNING ALGORITHMS ON APACHE SPARK PLATFORM 
    Ko, Thein Than (University of Computer Studies, Yangon, 2023-05)
    Car insurance companies face a major challenge in dealing with insurance claims, which are prone to fraud and increasing in volume. This makes it difficult for insurers to classify claims during the review process. To ...
  • Car Park Control System by Microcontroller 
    Htun, Kay Khine (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    PIC microcontroller has become a real powerhouse with regards to available support. In many ways, the PIC microcontroller has more support available than other electronic devices. Microcontroller is a complete computer ...
  • Cardiac Diagnosis based ECG Images Classification System using Convolution Neural Network 
    Tun, Zin Mar; Khine, May Aye (ICCA, 2021-02-25)
    Electrocardiogram (ECG) is a widely-used for the diagnosis of heart disease and the cardiac arrhythmia classification for an efficient clinical approach. The ECG has the random signal nature. Thus, acquiring the accurate ...
  • A Cascaded Approach to Text Normalization for Email Data Cleaning 
    Theint, Aye Aye; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Email is one of the commonest modes of communication via text. By using email, people are sending and receiving many messages per day and communicating with partners and friends. Most of email data is very noisy. Thus, ...
  • A Case Base Travel Advisory System for Personalization 
    Thin, Ei Ei; Mar, Win (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Web personalization and one to one marketing have been introduced as strategy and marketing tools. By using historical and present information of customers, organization can learn, predicts customer’s behavior and develop ...

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