UCSY's Research Repository

Browsing Local Conference on Parallel and Soft Computing by Title

Browsing Local Conference on Parallel and Soft Computing by Title

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  • Classification of Fish Based on Naïve Bayesian Classifier 
    Latt, Su Su; Myint, Myo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Classification is the form of data analysis that can be used to extract models describing import data class or to predict future data trends. This system uses the Naive Bayesian Classifier. This system is useful in predicting ...
  • Classification of Heart Disease Using Resilient Back Propagation Algorithm 
    Maung, Khin Yadanar; Lwin, Nyein Nyein (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Heart disease diagnosis is a complex task which requires much experience and knowledge. Traditional way of predicting Heart disease is doctor’s examination or number of medical tests such as ECG, Stress Test, and Heart ...
  • Classification of Import Market by using CART Algorithm 
    Pearl; Aung, Wint Thinzar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The goal of this paper is to classify Import Market data to support the decision makers for Import Market. The main task performed in this system is used Classification and Regression Tree (CART) Algorithm. In this paper, ...
  • Classification of Jade with Fuzzy Bayesian Decision Making Method 
    Zaw, Nan Sine Se Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Decision-making problems meet in the daily life or working environment. Sometimes it is very difficult to make the good decision. In practice, decision maker usually use the past experiences to make a decision. Selecting ...
  • Classification of Lung Diseases Using Decision Tree Algorithm (C4.5) 
    Khine, Hnin Htet Htet (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, it is increasing usage of data mining techniques on medical data for discovering useful trends and patterns that are used in diagnosis and decision making. Decision Tree is one of the successful data mining ...
  • Classification of Medical Diagnosis by using Naive Bayesian Classifier 
    Htwe, Tin Moe; Oo, Win Mar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Classification is a form of data analysis that can be used to extract models describing import data class or to predict future data trends. This paper contains two important aspects of pattern recognition that classification ...
  • Classification of Music and Speech from Audio Stream by using Fuzzy Logic 
    Phyo, Ohnmar; Aung, Moh Nyunt (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today multimedia informatio has become an important component of our lives. Rapid increase in the amount of audio data demands for classify audio stream based on its content. This system will be developed audio classification ...
  • Classification of Music Emotion with Gaussian Mixture Model (GMM) 
    Ko, Myat Ko (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Music is a link between cognition and emotion, and people are not able to share same feeling for a song. There has a need to process vast qualities of musical data. One of the operations is music emotion classification ...
  • Classification of Myanmar Rice using Back Propagation Neural Network 
    Win, Thu Zar; Khaing, Wint Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Neural networks(NN) are a very popular data mining, classification, and image-processing tool.In this paper, neural network model is used to classify the specific features of rice. The purpose of rice grading is to ...
  • Classification of Paddy by using Naive Bayesian Classifier 
    San, Thida; Thwe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Classification is a form of data analysis that can be used to extract models describing important data classes or to predict future data trends. Data classification is a two step process. In this system, a model is ...
  • Classification of Paddy Types by Decision Tree Induction 
    Soe, Myat Min; Sandar, Khin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This system is to give the information for the knowledge worker can be decision for the best paddy type. Correct classification of measurements may in fact be the most critical part of the diagnostic process. In this paper, ...
  • Classification of Peanut Leaves Disease using Back Propagation Neural Network 
    Maw, Naw Aye Aye; Htay, Sandar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A number of classification systems have been developed depending on the intended purpose of the system. This system tries to classify peanut leaves diseases.. The images of the peanut leaf are acquired by means of an digital ...
  • Classification of Protein By Using Random Forest Classifier 
    Thwin, Su Myat; Min, Mar Mar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predtictions. Classification is a form of data analysis that can be used ...
  • Classification of Publication Papers by Using K-nearest Neighbor Algorithm 
    Tun, May Zin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Classification is a data mining or machine learning technique used to predict group membership for data instances. Several major kinds of classification method including decision tree induction method, Bayesian networks ...
  • CLASSIFICATION OF SOIL TYPE USING BACKPROPAGATION NEURAL NETWORK 
    Htun, Wanna; Htay, Sandar (2010-12-16)
    A number of classification systems have been developed depending on the intended purpose of the system. Soil classification has proved to be very useful for soil engineers. Classification of soil type is an ever challenging ...
  • Classification of Water Pollution with Feature Selection 
    Win, Pwint Mar Naing; Aung, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset of features upon which to focus its attention to achieve the highest predictive accuracy with the ...
  • Classification of Web Page Design Quality using Naïve Bayesian Algorithm 
    Thwel, Tin Thein; Than, Aye Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, World Wide Web is become popular and building high-quality web sites are a challenging task. Potentialities of web applications are remarkable leading many organizations to spend awesome amounts of money on ...
  • Classification Process of Applicant’s data in a Job Agency using Rule-Based Classification Method 
    Lwin, Khine Pyae Sone; Than, May Lwin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays, everybody has to work and so, they search the associated job balancing with their qualifications. For every graduated people have many opportunities in every workplace. But, they may not be free to search one job ...
  • Classification System Based On NBC For Cervical Cancer 
    Khaing, Yadanar; Min, Mar Mar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    As the technology grows rapidly, many people take a great interest in computer. Many computerized systems are widely used in medical field such as making decisions for diagnosis to give treatment. Classification is a data ...
  • Classification the Stages of Breast Cancer Using ELEM2 (Extension of Learning from Examples Modules Version 2) Algorithm 
    Zin, Ei Ei (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Breast cancer is the most common form of cancer among women world-wide and its early detection can improve the chances of successful treatment and recovery. In this paper we are using data mining techniques for diagnosis ...

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