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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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  • 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 ...
  • Collaborative Recommender System for Online Book Retailing by using Associative Rule Mining Approach 
    Phyo, Thet Mon; Oo, Nhinn Minn (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems help the users to find and evaluate items of interest. They connect user with items to consume by associating the opinions of other individuals with the consuming user’s actions or opinions. Such system ...
  • Comparing the Efficiency of Different Normalization Methods using C4.5 Algorithm 
    Oo, Khin Nwe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents three different types of normalization methods. Normalization is particularly useful for classification algorithm. Each normalization method is tested against the C4.5 algorithm methodology using the ...
  • Comparison of Apriori Algorithm and Frequent Pattern Growth Approach 
    Maung, Thida Wai; Phyu, Win Lei Lei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining is the process of analyzing large data sets in order to find patterns that can be help to isolate key variables to build predictive models for management decision making. The discovery of interesting ...
  • Comparison of Clustering with Self Organizing Map and Fuzzy C-Means Algorithm 
    Maung, Hsu Mon; Win, Tha Pyay (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Clustering partitions a set of objects into non-overlapping subsets called clusters such that objects inside each cluster are similar to each other and objects from different clusters are not similar. The set of non-overlapping ...
  • Comparison of Lighting Effects for the Visualization of an Object Using Direct3D 
    Thida, Pyae (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper seeks to examine the advantages of three dimensional (3D) computer graphics on the personal computers. 3D scene, including the objects named TableDisk, TableLegs and even the landscape with the sky, is designed ...
  • Comparison of Multilayer Feed Forward Neural Network and Hopfield Neural Network upon Buddhist Iconographies Classification 
    Aye, Thin Thin; Khaing, Thiri Thitsar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper proposes two types of artificial neural networks to classify the Buddhist iconographies in order to compare the performances of two networks; multilayer feed forward network and Hopfield network. The quality of ...
  • Comparison of the K-Means and the K-Medoids Partitioning Algorithms for Clustering of Optical Mineralogy 
    Thu, Aye Nyein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    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 another, but are very dissimilar to objects in other clusters. The dissimilarity ...
  • Comparison of Two Approaches for Part of Speech Tagging of Myanmar Language 
    Zin, Khine Khine; Thein, Ni Lar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Part-of-Speech (POS) Tagging is the process of assigning the words with their categories that best suits the definition of the word as well as the context of the sentence in which it is used. There are different approaches ...
  • Computer Problem-Solving by Applying Depth-First Search 
    San, Thet Htar; Bo, Aye Aye (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Artificial Intelligence (AI) is the science and engineering of making intelligent machines, especially intelligent computer programs and AI is related to the similar task of using computers to understand human intelligence. ...
  • Computerized Fuzzy Logic Controlled of Syrup Mixing Process 
    Mon, Aye Myat; Wai, Khaing Khaing (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Computer-controlled systems are the most interesting in today’s world. Fuzzy systems have been used in a wide of application in business, science, medicine, psychology, decision making and other fields. The production of ...
  • Computerized Reservation System for Taunggyi Hotel 
    Win, Myint Myint; Shein, Swe Swe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, the computerized systems are popular in many business application areas and the online-based business systems are widely implemented for successful business. Taunggyi has many popular and interested places ...
  • Computerized Thermometer Using PIC and RS232 Interfacing 
    Win, Thet Swe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper aims to develop a computerized thermometer using PIC and RS232 serial interfacing. The analogue temperature sensor is used to detect the real world temperature. The temperature sensor produces analogue changes ...
  • Concurrency Control of a Distributed File System By using 2-Phase Locking 
    Shein, Su Mon; Nwe, Khine Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, distributed system become very popular in the operational environment of computer field. Heart of every distributed system is distributed file system in which informations are separated throughout the network as ...

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