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  • Predicting the Meteorological Drought based on the NDVI and Rainfall by using Long Short-Term Memory Algorithm 
    Maung, Thiri; Thein, Thin Lai Lai (ICCA, 2021-02-25)
    Myanmar is exposed to almost all types of natural hazards. Drought is a slow onset hazard type. The central dry zone in Myanmar is the most vulnerable area of the country from drought. The frequency and severity of drought ...
  • Predicting Web Interface Quality Assessment Using Support Vector Machine 
    Wah, Naw Lay (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Internet websites are promising as the products for providing services. The key issues related to website engineering are very essential. These websites need to measure and evaluate for quality and for better understanding. ...
  • Prediction for Production Rate of Paddy Using Bagged Classifier Based on NBC 
    Htaik, Ei Yamin; Aye, Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    A popular method for creating an accurate classifier from a set of training data is to train several classifiers, and then to combine their predictions. One way to generate an ensemble of simple Bayesian classifiers ...
  • 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 ...
  • Prediction of Bank Loan Type Using Naive Bayesian Classification 
    Aung, Thandar; Win, Thin Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data Mining is the process of storing through large amount of data and picking out relevant information. Classification can be used as in the form of data analysis that can be used to extract models describing the important ...
  • Prediction of Bank Loans Risks Using K-Nearest Neighbor Classification Algorithm 
    Win, Hlaing Hlaing (University of Computer Studies, Yangon, 2021-11-23)
    Data mining techniques are extensively used for data analysis in a variety of applications. Especially, credit analyzers often use predictive analysis of credit risk to determine the applicant users are to be trusted ...
  • Prediction of Cost by using Linear Regression Method 
    Saing, Myat Pen; Tun, Myint Thu Zar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Prediction of cost paves the way to the base line for development of industry. Before starting a business, it is imperative that one should know the potential of business to be cost-effective. As a business man, he is ...
  • PREDICTION OF EMPLOYEE ATTRITION USING BAYES RISK POST-PRUNING IN DECISION TREE 
    Aung, Win Pa Pa May Phyo (University of Computer Studies, Yangon, 2023-01)
    Employee attrition is the departure of employees from the organization for any reason (voluntary or involuntary), including resignation, termination, death, or retirement. Attrition is widely understood to be one of ...
  • Prediction of Significant Heart Attack Patterns Using Clustering Algorithm 
    Han, Aye Mya (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This system presents an efficient approach for discovering significant patterns from the heart disease database for heart attack prediction. The heart disease data warehouse is clustered using Kmeans clustering algorithm ...
  • Prediction of software development faults in PL/SQL files using neural network models 
    Thwin, Mie Mie Thet; Quah, Tong Seng (Information and Software Technology, 2004-06-15)
    Database application constitutes one of the largest and most important software domains in the world. Some classes or modules in such applications are responsible for database operations. Structured Query Language (SQL) ...
  • Prediction of Software Readiness Using Neural Network 
    Thwin, Mie Mie Thet; Quah, Tong Seng (Proceedings of the First International Conference on Information Technology and Applications (ICITA 2002), 2002)
    In this paper, we explore the behaviour of neural network in predicting software readiness. Our neural network model aims to predict the number of faults (including objectoriented faults) of a software under development. ...
  • PREDICTION OF STUDENTS’ ACADEMIC PERFORMANCE USING MULTIPLE LINEAR REGRESSION 
    Zu, Chan Myae Myint (University of Computer Studies, Yangon, 2022-06)
    Nowadays, the education system has been changed from teacher centered approach to learner-centered approach. Thus, students’ related features need to analyze to predict students’ academic performance to provide the ...
  • Prediction Online Auction Price Using Functional Data Analysis 
    Lin, May Phyo Wai; Oo, Khine Khine (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The goal of the proposed system is to derive models for forecasting the final price of ongoing auction. The forecasting task is important not only to the participants of an auction who compete against each other for the ...
  • Prediction System for Traffic Congestion using GPS Data on Hadoop Cloud Storage 
    Lwin, Hnin Thant; Naing, Thinn Thu (2014-02-17)
    The high values of vehicles, the inadequate infrastructure cause traffic congestion. Congested roads can be avoided by determining the travel-time for a particular road ahead of time. Traffic prediction and travel time ...
  • Prediction the Direction of Storm Based on the Sub Pixel Registration 
    Thinzar, Cho; Aye, Nyein (Thirteenth International Conference On Computer Applications (ICCA 2015), 2015-02-05)
    In the field of natural disaster management, storm detection, forecasting the weather condition and change detection are occupied as essential role. The storm direction detection is provided to manage and to prevent ...
  • Prediction the Direction of Storm Based on the Sub Pixel Registration 
    Thinzar, Cho; Aye, Nyein (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    In the field of natural disaster management, storm detection, forecasting the weather condition and change detection are occupied as essential role. The storm direction detection is provided to manage and to prevent ...
  • Prediction the Rice’s Yield per acre using Backpropagation Algorithm 
    Phyu, Poe Ei (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays, Neural Network technologies are applied in many fields. Neural Networks (NN) rely on the inner structure of available data sets rather than on comprehension of the modeled processes between inputs and outputs. ...
  • Predictive Big Data Analytics on High-Dimensional Data 
    Khine, Kyi Lai Lai (University of Computer Studies, Yangon, 2019-10)
    Nowadays, data is extremely growing very fast to become “BIG DATA”, any voluminous amount of structured, semi-structured and unstructured data, which has high potential to be mined for valuable information in decision ...
  • Predictive Fuzzy Request Control Mechanism in Virtualized Server Environment 
    Myint, San Hlaing (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    In virtualized server environment, various services are revealed to high rates of incoming requests. The servers may become overloaded during temporary traffic peaks when more requests arrive than the server is considered ...
  • Preference Querying for Context-Aware Location Based Services 
    Maung, Tin; Thein, Ni Lar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    This paper presents system architecture of a Context and Preference-Aware Location-based Services system (CPALBS, for short), that delivers personalized services to its customers based on the user preference query. ...

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