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 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 ...
  • Classification the Stages of Dental Caries Using C4.5 Decision Tree Algorithm 
    Mon, May Thet; Htwe, Tin Tin (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining is the process of analyzing data from different prespectives and summarizing it into useful information. Different applications often require the integration of application-specific methods. Classification is ...
  • Classifying Textual Documents Using Two Dimensional Probabilistic Model 
    Than, Wai Me Me; Kham, Nang Saing Moon (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    This paper presents the probabilistic model named Twodimensional Probabilistic Model (2DPM). In this model, terms are seen as disjoin events, and terms and categories are realeated to each other. Since the documents are ...
  • Classifying the Fields of Subjects Using Case-Based Reasoning 
    Wai, Hnin Yu; Than, Khin Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today text classification is a necessity due the very large amount of text documents that we have to deal with daily. Text classification is a task of assigning a text document into classes. In this thesis, the system will ...
  • Client-Server Application System Using RMI 
    Lay, Phyu Pyar Khin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Most modern network programming is based on a client/server model. The Remote method Invocation API lets java objects on different hosts communicate with each other. A remote object lives on a server. In RMI application, ...
  • Cluster Based Data Storage Management System Using Hadoop Distributed File System 
    Kyaw, Myat (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data storage is one of the important resources in cloud computing. There is a need to manage the data storage. This system is a cluster based data storage file system using Hadoop Distributed File System with the low cost ...
  • Clustering Analysis of Library System Using Divisive Method 
    Hlaing, Htwe Ei; Aung, Than Nwet (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining is the automated or convenient extraction of patterns representing knowledge implicitly stored in large databases, data warehouses and other massive information repositories. Clustering has its roots in many ...
  • The Clustering Approach for Nutrient Foods 
    Myint, Swe Swe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Clustering is the process of grouping the data into classes of similar objects. A cluster is a collection of data objects that are similar to one another within the same cluster and are dissimilar to the objects in other ...
  • Clustering Approach to Analyzing Student Data by using K-Means Algorithm 
    Wai, Khin Su Su; Min, Myat Myat (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Clustering is the process of grouping data into classes of clusters so that objects within a cluster have high similarity in comparison to one another, but are very dissimilar to objects in other clusters. K-means ...
  • Clustering Documents by Using Harmony K-means Algorithm 
    Win, Nwe War (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Clustering is currently one of the most crucial techniques for dealing with massive amount of heterogeneous information on the web, which is beyond human being’s capacity to digest. Recent studies have shown that the most ...

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