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Browsing Fourth Local Conference on Parallel and Soft Computing by Title

Browsing Fourth Local Conference on Parallel and Soft Computing by Title

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  • Cancer Diagnosis Using K-Means Clustering 
    Mon, Aye Chan (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The proliferation, ubiquity and increasing power of computer technology has aided data collection, processing, management and storage. However, the captured data needs to be converted into information and knowledge to ...
  • Car Park Control System by Microcontroller 
    Htun, Kay Khine (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    PIC microcontroller has become a real powerhouse with regards to available support. In many ways, the PIC microcontroller has more support available than other electronic devices. Microcontroller is a complete computer ...
  • A Cascaded Approach to Text Normalization for Email Data Cleaning 
    Theint, Aye Aye; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Email is one of the commonest modes of communication via text. By using email, people are sending and receiving many messages per day and communicating with partners and friends. Most of email data is very noisy. Thus, ...
  • A Case Base Travel Advisory System for Personalization 
    Thin, Ei Ei; Mar, Win (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Web personalization and one to one marketing have been introduced as strategy and marketing tools. By using historical and present information of customers, organization can learn, predicts customer’s behavior and develop ...
  • Case Based Reasoning System for Diagnosing Gastric and Intestinal Diseases 
    Win, Cho Ei Mon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Case Based Reasoning is a problem solving method which can generate the solution of a new problem by retrieving a solution of a previous similar case. In Case Base Reasoning Systems, old cases are used by an algorithm to ...
  • Case –Based Reasoning (CBR) Based on Fuzzy Set Approach For Rainfall Prediction 
    Soe, Nang Nwe Nwe; Win, Khin May (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Rainfall predictions and warnings are the most important services provided by the meteorological profession. Predictions are used by government and industry to protect life and to improve the efficiency of operations, and ...
  • 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 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 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 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 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 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 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 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 ...
  • 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, ...
  • 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 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 ...
  • Clustering XML Document Based On Path Similarities Using Structure Only 
    Mon, Ei Ei; Tun, Khin Nwe Ni (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    We propose a methodology for clustering XML documents on the basis of their structural similarities. This research combines the methods of common XPath and K-means clustering that improve the efficiency for those XML ...

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