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Browsing Fifth Local Conference on Parallel and Soft Computing by Title

Browsing Fifth Local Conference on Parallel and Soft Computing by Title

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  • Classification of Acute Upper Gastrointestinal Bleeding based on Rough Neural Network 
    Aung, Su Mon; Pa, Win Pa (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The main emphasize of paper is the classification of Acute upper Gastrointestinal Bleeding based on Rough neural network. Classification is used to extract model describing important and data classes or future data ...
  • Classification of Import Market by using CART Algorithm 
    Pearl; Aung, Wint Thinzar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The goal of this paper is to classify Import Market data to support the decision makers for Import Market. The main task performed in this system is used Classification and Regression Tree (CART) Algorithm. In this paper, ...
  • Classification of Music Emotion with Gaussian Mixture Model (GMM) 
    Ko, Myat Ko (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Music is a link between cognition and emotion, and people are not able to share same feeling for a song. There has a need to process vast qualities of musical data. One of the operations is music emotion classification ...
  • 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 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 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 ...
  • 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 in Hyper-Linked Document Database using Efficient Graph Algorithm 
    Naing, Win Lai Lai; Htike, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Clustering is an essential data mining task with numerous applications. Clustering is the process of grouping the data into classes or clusters, so that objects within a cluster have high similarity in comparison to one ...
  • Clustering Patient Records using Fuzzy C-Means and Hard C-Means Algorithm 
    Soe, Theint Theint Nwe; Htwe, Tin Tin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data clustering is the process of dividing data elements into classes or clusters so that items in the same class are as similar as possible, and items in different classes are as dissimilar as possible. Most clustering ...
  • Clustering Technique using Concepts for Web Documents 
    Tar, Hmway Hmway; Nyunt, Thi Thi Soe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Web document clustering becomes an essential technology with the popularity of the Internet. That also means that fast and high-quality document clustering techniques play core topics. One of the main issues for ...
  • Clustering the Navigation Pattern Using Graph Partitioning 
    Cho, Ei Mon; Soe, Khin Thanda (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    World Wide Web become as information gateway and as a medium for conducting business. People use web pages to retrieve information which may need or demand. Web mining can provide the navigation link to user by using ...
  • Clustering XML Documents using Structural Similarity 
    Lwin, Moet Moet; Htoon, Ei Chaw (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Extensible Mark-up Language (XML) is increasingly important in data exchange and information management. The automatic processing and management of XML-based data are ever more popular research issues due to the ...
  • Combination of Keyword and Visual Feature based Image Retrieval System 
    Kyaing, Htwe Htwe; Nge, Mi Mi (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Keyword-based image retrieval systems have become popular for many image database applications. To improve the performance of keyword-based web image queries, combination of keyword and visual feature based image ...
  • Comparative Study of Association Rules Mining 
    Aye, Thi Dar; Soe, Khin Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Association rule mining is a technique to find useful patterns and associations in transactional databases. The mining of association rules can be mapped into the problem of discovering large (frequent) itemsets where ...
  • A Comparative Study of Image Noise Reduction 
    Win, May Thuzar; Sandar, Khin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    There are several ways that noise can be introduced into an image, depending on how the image is created. Today, there are varieties of image noise reduction techniques. Several approaches have been introduced each has its ...
  • A Comparative Study on Transaction Database Mining Algorithms 
    Soe, Hay Mar; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Association Rules is the process of identifying relationships among set of items in transaction database. Finding frequent itemsets is the most expensive step in Association rule discovery. Real world datasets are ...
  • Comparing Cryptographic Algorithms in Scalable Feistel Networks 
    Myo, Khin Yupar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Scalability of symmetric cipher is still not as natural as for public-key cryptosystems. Most of the current block ciphers do not support freely variable block and key lengths. A generalization of the concepts of Feistel ...
  • Comparing Shortest Path Algorithms for Real Road Network 
    Hmon, Moh Moh Wut; Htway, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This system deals with the problem of finding shortest paths in traversing some location within Myanmar. In particular, it explores the use of three approaches, Dijkstra’s shortest path algorithm, Bellman-Ford shortest ...
  • Comparison of Apriori, FP-growth and Dynamic FP- growth for Frequent Patterns 
    Cho, War War; Nwe, Nwe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Frequent pattern mining is one of the active research themes in data mining. It is an important role in all data mining tasks such as clustering, classification, prediction and association analysis. Frequent pattern is the ...
  • Comparison of Belief Network Classifier and Rule-based System for Diagnosis of Liver Diseases 
    Thu, Mi Swe Zar; Mar, Soe Hay (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Computer base methods are increasingly used to improve the quality of medical services. Expert system uses knowledge, facts and reasoning techniques to solve problems that normally require the expertise, experiences and ...

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