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Browsing Local Conference on Parallel and Soft Computing by Title

Browsing Local Conference on Parallel and Soft Computing by Title

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  • Estimation of Oil Land Area by Using Bayes’ Theorem 
    Shwe, Myo Myat; Thein, Naychi Lai Lai (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Petroleum exploration is a high risk business. Consulting geologists predicts the probable existence of oil based on the geological evidence such as reservoir rocks, source rocks, sealed rocks, trap, recovery factor and ...
  • Evaluation of Application Forms in Nursery Care System using Rule Induction Algorithm 
    Yadanar, Aye Mya; Maw, Aye Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Most Nursery Care Schools support to families and improve the living standards of the children in terms of education, health and nutrition. Nursery Care School acquires children’ health condition and knowledge to accept ...
  • Evaluation of Diagnosis according to Myanmar Traditional Medicine by using Expectation Maximization 
    Hlaing, Hnin Wai Wai; Tun, Myint Thuzar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays, computer based medical system is playing a role in assisting both diagnosis and treatment. Thus, this system intends to provide information for junior traditional medicine practitioners and user who interested ...
  • Evaluation of Real Time Applications on KVM Architecture based Eucalyptus Private Cloud System 
    Kyaw, Yan Naing (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Cloud Computing is a scalable distributed computing environment in which a large set of virtualized computing resources, various development platform and useful software are delivered as a services to customer as-pay-as-you-go ...
  • Evaluation of Searching And Creation of B-tree And Binary Search Tree 
    Yar, Thar; Nwe, Nwe (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Artificial Intelligence (AI) is the computational part of the ability to achieve goal. A search algorithm, broadly speaking is an algorithm that takes a problem as input and returns a solution to the problem, usually ...
  • Evaluation of Symptoms in Heart Disease Patients by using k - Nearest Neighbor Classification 
    Maw, Hnin Yu; Sandar, Khin; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In many application domains, classification of complex measurements is essential in a diagnosis process. Correct classification of measurements may in fact be the most critical part of the diagnostic process. In this system, ...
  • Evaluation System for Course Management using Statistical Analysis Method 
    Aung, Nwe Ni (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper proposes web-based course management system for learning subjects.In this paper, statistical analysis over student performance in tests and exams are evaluated as well as courses’ quality and relationship ...
  • Evaluation System For International Student Application Using Nearest-neighbor Case Retrieval Technique 
    Nyunt, Khine Thuzar; Hole, Gilmour (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Important decisions are made based not on the information-rich data stored in databases but rather on a decision maker’s intuition because the decision maker does not have the tools to extract the valuable knowledge embedded ...
  • Evolutionary Neural Network for Classification of Web Page 
    Yee, Su Mon (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    As with the growth of internet and related technologies, more and more content were published on the World Wide Web. Automatic classification of web page according to their category or label is of benefit for ...
  • Expectation Maximization (EM) Algorithm for Classification in Medical Disease: Tuberculosis (TB) 
    Chain, May Thazin; Tun, Zaw (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Data Mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. Classification is one of the most popular data mining tasks with ...
  • Experimentation Based on Decision Tree Induction Analysis for Hepatitis Patients 
    Sin, Min Min Shwe; Sandar, Khin; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper is about Hepatitis medical diagnosis using decision tree induction algorithm in machine learning. This paper describes experimentation of decision tree induction analysis for hepatitis patients. A chain reaction ...
  • Extended Boolean Information Retrieval System Using P-norm 
    Phyu, May The`; Oo, Ingyin (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Today, vast amounts of information are available electronically through the World-Wide- Web (www). Information Retrieval is one of the retrieval systems which is browsing through documents and searching for specific ...
  • Extracting Patterns in Social Network by Means of Link Mining 
    Oo, Hnin Wut Yee; Aung, Than Htike (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The World Wide Web serves as a huge, widely distributed, global information service center for news, advertisements, consumer information, financial management, education, government, e-commerce, and many other information ...
  • Extraction of Association Rules from Education Data 
    Chaw, Khin Ei Ei; Htun, Moe Sanda (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining concerns with developing methods for discovering knowledge from data that come from educational environment. This paper presents finding interesting patterns from educational database. Association rule mining ...
  • Extraction of Frequent Patterns from Diabetes Cluster 
    Win, Myint Swe Lai; Phyu, Win Lei Lei (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data mining is the process of discovering interesting knowledge, such as patterns, associations, changes, anomalies and significant structures, from large amounts of data stored in databases, data warehouses, or other ...
  • Extraction of Weather Keywords from News Topic 
    Yee, Hnin Wut; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A large and growing number of web pages display contextual advertising based on keywords automatically extracted from the text of the page, and this is a substantial source of revenue supporting the web today. Despite the ...
  • Extraction Rules from Educational Data using FP Growth Algorithm with Correlation 
    Myat, Aye Myint; Tun, Zaw (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Educational data mining is discovering knowledge from data that come from educational environment. This paper presents finding interesting patterns from educational database. Learning how student behaviors relate to ...
  • Face Recognition for Biometric Security System 
    Wai, Ei Phyo; Sein, Myint Myint (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Biometrics is used for human recognition which consists of identification and verification. In an identification application, the biometric device reads a sample and compares that sample against every record or template ...
  • FAQ Finder for Computer Related Questions 
    Oo, Lwin Mar; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper presents Frequently Asked Question (FAQ) finder system that uses a natural language question based on interface to access text information sources specifically text files organized as question-answer pairs ...
  • FAQ Finder Related With Mobile Phone Questions 
    Khine, Mg Thein; Yuzana (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper describes FAQ finder system to search the user required questions. FAQ FINDER is a natural language question-answering system that uses files of frequently-asked questions as its knowledge base. FAQ FINDER ...

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