Browsing by Title

Sort by: Order: Results:

  • Chemical Structure Searching in Chemical Compound Graph Databases 
    Thaing, Aye Nwe (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    In chemical informatics, the structure of chemical compound can be represented as graph with atoms as nodes and bonds as edges. Exact structural graph matching (automorphism), exact substructure graph matching ...
  • Chunk Tagged Corpus Creation for Myanmar Language 
    Myint, Phyu Hninn; Htwe, Tin Myat; Thein, Ni Lar (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    In the applications of Natural language processing (NLP), sentence analysis is one of the important phases for machine translation systems. Currently, no mature deep analysis that has been worked done is available for ...
  • Churn Prediction Models Using Gradient Boosted Tree and Random Forest Classifiers 
    Win, Yu Yu; Vung, Cing Gel (ICCA, 2021-02-25)
    In the era of a competitive market, every organization has been used a lot of marketing techniques to maximize their profit and to preserve the existing flow of customer relationships with the firm. The cost of attracting ...
  • Classification Analysis using Back Propagation Neural Network and Radial Basis Function Neural Network 
    Lab, Ya Min Su; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Neural networks are a very popular data mining, classification and image processing tool.The fundamental concept of neural networks is the structure of the information processing system composed of a large number of ...
  • Classification and Discovery on Intra-Firewall Policy Anomalies 
    Thwin, Lae Win; Aye, Zin May (National Journal of Parallel and Soft Computing, 2019-03)
    Firewalls are core elements in network security. However, managing firewall rules is an error-prone task especially for less experience administrator. The reason is that firewall filtering rules itself might cause ...
  • Classification and Discovery on Intrafirewall Policy Anomalies 
    Thwin, Lae Win (University of Computer Studies, Yangon, 2018-06)
    Firewalls are core elements in network security. However, managing firewall rules is an error-prone task especially for less experienced administrator. The reason is that firewall filtering rules itself might cause network ...
  • Classification of Acute Upper Gastrointestinal Bleeding based on Rough Neural Network 
    Aung, Su Mon; Pa, Win Pa (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The main emphasize of paper is the classification of Acute upper Gastrointestinal Bleeding based on Rough neural network. Classification is used to extract model describing important and data classes or future data ...
  • Classification of Audio Events in Surveillance System using Genetic Regulatory Network 
    Kyaw, Tin Ei (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    The surveillance system at important public places in a noisy environment deals with audio events detection is essential and useful application. At surveillance systems aiming to detect abnormal situations based on ...
  • CLASSIFICATION OF BANK DEPOSITOR USING ID3 AND NAIVE BAYESIAN CLASSIFIERS 
    Phyu, Moe San (University of Computer Studies, Yangon, 2022-09)
    Nowadays, banks are financial institutions whose activities are to collect funds from the public in the form of deposits (saving deposit and time deposit). Deposits are an alternative for customers because the interest ...
  • CLASSIFICATION OF BANK MARKETING DATA USING SUPPORT VECTOR MACHINE 
    Khin, Ei Ei (University of Computer Studies, Yangon, 2023-05)
    Nowadays, banking system plays an important role of financial sectors all over the world. The more accurate predictive modeling system is required for their services or products in the banking industry. Bank workers ...
  • Classification of Brain Cancer by Using Naïve Bayesian Classifier 
    Kyaw, Zin Mar Win; Maw, Aung Htein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Brain tumors typically behave in a unique fashion compared to neoplasm occurring elsewhere in the body. In particular, they rarely spread to other parts of the body and typically produce symptoms due to localized growth ...
  • Classification of Breast Cancer Using Radial Basic Function Neural Network 
    Oo, Khin Mar Lar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Breast cancer is the second most common form of cancer among females and also the fifth most cause of cancer deaths worldwide. The early detection is the best form of cure and hence timely and accurate diagnosis of the ...
  • Classification of Butterfly's Sub Families System using Fuzzy Bayesian Decision Method 
    Aung, Nway Yu; Aung, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data Mining refers to extracting or mining knowledge from large amounts of data. Classification is an important technique in data mining. Classification is the process of finding a set of models that describe and ...
  • Classification of Different Abdominal Pain using Decision Tree Induction (ID3 Algorithm) 
    Myint, Khine Swe; Mar, Win (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, data classification techniques are very increasingly and applied in real world domain such as medicine, manufacturing and production, weather prediction, and financial analysis. Data classification is the process ...
  • 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 ...

Search Repository

Browse

My Account