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Browsing Local Conference on Parallel and Soft Computing by Author "Yuzana"

Browsing Local Conference on Parallel and Soft Computing by Author "Yuzana"

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  • FAQ Finder Related With Mobile Phone Questions 
    Khine, Mg Thein; Yuzana (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper describes FAQ finder system to search the user required questions. FAQ FINDER is a natural language question-answering system that uses files of frequently-asked questions as its knowledge base. FAQ FINDER ...
  • Implementation of Agent-based Mechanism for Multiple Criteria English Reversed Auction 
    Oo, Khaing Wai; Yuzana (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Auctions are a fundamental mechanism to automate negotiations in electronic commerce. This paper presents agent-based mechanism for autonomous multiple criteria reverse English auction. In the multiple criteria auctions, ...
  • Implementation of Job Classification for Accounting Field using Decision Tree Algorithm 
    Oo, Khin Lay Nwe; Yuzana (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data mining is seen as an increasingly important tool by modern business to transform data into an informational advantage. Data mining could also be described as trying to create a simplified model of the complex world ...
  • Informative Content Extraction for Web Page using Text Density and Visionbased Page Segmentation (VIPS) Algorithm Integration 
    Mon, Ei Phyu Phyu; Yuzana (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Web pages consist of not only actual content, but also other elements such as branding banners, navigational elements, advertisements, copyright etc.Irrelevant content in the Web page is treated as noisy content. This ...
  • Payroll System Using Role-Based Access Control 
    Kyaw, May Phyu; Yuzana (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Security requirements approached at the enterprise level initiate the need for models that capture the organisational and distributed aspects of information usage. Such modifies have to express organization specific security ...
  • Prediction Heart Disease Using Naive Bayesian Classification 
    Aye, Khin Myo; Yuzana (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surprising, because the conditional independence ...

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