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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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  • Bayesian Network Probability Model for Weather Prediction 
    Hlaing, Aye Nandar; Naing, Thinn (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Bayesian networks, or belief networks, show conditional probability and causality relationships between variables. Weather forecasting is important for various areas. In this paper, weather forecasting system is presented ...
  • Best Selection of ASEAN Universities Based on Multi-agent System 
    Theint (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Today, multi-agent system is currently popular in computer science communities. Multi-agent system consists of a number of agents which can interact with each other to reach their overall goal. In this paper, we present ...
  • Building a Small new Interpreter for Arithmetic Expressions of Pseudo Language by using Polish Notation 
    Thu, Su Myat (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Since most imperative languages have similar control structures and operational logic, a pseudo programming language with clearer syntax could be more appropriate as a first teaching language. Therefore, it is an ideal ...
  • Building a Tool for Multi-word Expression Extraction in Kachin-Myanmar using Syntactic Parsing 
    Bu, Hkawn Ra Seng (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Syntactic analysis in Natural Language Processing (NLP) is one of the most important fields carried out in the world of artificial intelligence. NLP, a subfield of artificial intelligence and computational linguistics, can ...
  • Building Domain Ontology based on Formal Concept Analysis 
    Shein, Khin Phyu Phyu; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    There has been a growing concern on ontology due to its ability to explicitly describe data semantics in a common way, independently of data source characteristics, providing a schema that allows data interchanging among ...
  • Building Item–based Recommender System for Ladies' wear Personalization Service 
    Win, Nwe Nwe; Saw, Nang Tom Hawm (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In recent years, the need for personalized service has been increased. However, personalization services must be improved to lighten user's burden in the process of personalization and produce results that are more adaptable. ...
  • Business Process Modeling for Web-services Orchestration 
    Phyu, Khaing May; Saw, Nang Tom Howm (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The concept of a Service-Oriented Architecture (SOA) is the latest design paradigm for IT systems. The aim is to use Web services as the basic building blocks, which provide reusable functionalities that are invocable ...
  • 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, ...

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