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Browsing Sixth Local Conference on Parallel and Soft Computing by Title

Browsing Sixth Local Conference on Parallel and Soft Computing by Title

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  • Camera Shopping Data Analysis using OLAP Model 
    Wai, Soe Nu; Cho, Aung (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, many commercil products and services are available, and all of the principal database management system vendors now have offering in business areas. Readity available high-quality information is very important ...
  • Classification of Different Abdominal Pain using Decision Tree Induction (ID3 Algorithm) 
    Myint, Khine Swe; Mar, Win (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, data classification techniques are very increasingly and applied in real world domain such as medicine, manufacturing and production, weather prediction, and financial analysis. Data classification is the process ...
  • Classification of Music and Speech from Audio Stream by using Fuzzy Logic 
    Phyo, Ohnmar; Aung, Moh Nyunt (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today multimedia informatio has become an important component of our lives. Rapid increase in the amount of audio data demands for classify audio stream based on its content. This system will be developed audio classification ...
  • Classification of Protein By Using Random Forest Classifier 
    Thwin, Su Myat; Min, Mar Mar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predtictions. Classification is a form of data analysis that can be used ...
  • Classification System Based On NBC For Cervical Cancer 
    Khaing, Yadanar; Min, Mar Mar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    As the technology grows rapidly, many people take a great interest in computer. Many computerized systems are widely used in medical field such as making decisions for diagnosis to give treatment. Classification is a data ...
  • Classification the Stages of Dental Caries Using C4.5 Decision Tree Algorithm 
    Mon, May Thet; Htwe, Tin Tin (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining is the process of analyzing data from different prespectives and summarizing it into useful information. Different applications often require the integration of application-specific methods. Classification is ...
  • Classifying Textual Documents Using Two Dimensional Probabilistic Model 
    Than, Wai Me Me; Kham, Nang Saing Moon (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    This paper presents the probabilistic model named Twodimensional Probabilistic Model (2DPM). In this model, terms are seen as disjoin events, and terms and categories are realeated to each other. Since the documents are ...
  • Classifying the Fields of Subjects Using Case-Based Reasoning 
    Wai, Hnin Yu; Than, Khin Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today text classification is a necessity due the very large amount of text documents that we have to deal with daily. Text classification is a task of assigning a text document into classes. In this thesis, the system will ...
  • Cluster Based Data Storage Management System Using Hadoop Distributed File System 
    Kyaw, Myat (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data storage is one of the important resources in cloud computing. There is a need to manage the data storage. This system is a cluster based data storage file system using Hadoop Distributed File System with the low cost ...
  • Clustering with Expectation Maximization in Web Usage Mining System 
    Than, Lei Mon; Tun, Zaw (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Web usage mining algorithms have been widely utilized for modeling user web navigation behaviour. This system introduces a model for mining of user’s navigation pattern. The model makes user model navigation pattern. The ...
  • Comparative Study of C4.5 and Boosting using Decision Tree Learning Algorithm 
    Tun, Thinzar; Win, Chit Nilar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data Mining aims to discover novel, interesting, and useful knowledge and patterns from databases. Classification is a data mining technique which addresses the problem of constructing a predication model for a ...
  • Comparative Study of Decision Tree Algorithms: ID3 and CART 
    Thu, Su Myat; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification of data objcts based on a predefined knowledge of the objects is a data mining and knowledge management techniques used grouping similar data objects together. It can be defined as supervised learning ...
  • Comparison of Boosted C5 over ID3 and C4.5 Abdominal Pain Problem 
    Aye, Hnin Nwe; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification can be used as in the form of data analysis that can be used to extract models describing the important data classes. This aim of this paper is to exmaine the performance of decision tree algorithms. ...
  • Crops Allocation System for Agriculture Sector by using Integer Linear Programming 
    Aung, Yunn Mee Mee (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today many business and factory want to get maximum profit for their products, so they use many optimum resource allocation methods for decision variables or slack variables. (E .g – By using Simplex method, Big –M method, ...
  • Data Availability in Distributed Patients’ Record System using Virtual Primary Copy 
    Myint, Thida; Htoon, Ei Chaw; Maw, Aung Htein (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Digitization and networked computing in the healthcare sector have resulted in electronic patient records that are stored, managed and shared among different healthcare providers. Replication process enables the data ...
  • Data Clustering using Ant Clustering Algorithm (ACA) 
    Htwe, Lei Yi; Phyu, Aye Lei Lei (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Clustering refers to the grouping of data records, observation or cases into similar objects. A cluster observation or cases similar to one another, and dissimilar to the record in other cluster. Recently, much research ...
  • Data Security System using Steganography with TDES and RSA Cryptographic Algorithms 
    Swe, Myat Myat; Kyu, Khin Kyu (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, technology is moving very fast and is growing demand for the security of data transferring and data collections over the network. To solve the security problems, Cryptography is very useful mechanism not only for ...
  • Decision Support System for Crops Diseases by Using Bayesian Classification 
    Khaing, Myat Mon; Win, Aye Mon (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification of measurements is esential in a diagnosis process in many application domains. Correct classification may be the most critical part of the diagnosis system. This system proposes a decision support system ...
  • Design and Implementation of Fuzzy based Robot Gripper Control System 
    Wai, Nu Htet (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    With the developing of technologies, people invented many kinds of robots such as autonomous robots, industrial robots, and mobile robots. One kind of important part of the robots is industrial robots that usually consist ...
  • Development of Data Warehouse For Computer Universites’ Information 
    Thike, Lynn Lynn; Maw, San San (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data warehousing is a repository of information collected from multiple data sources, stored under a unified schema, and that usually resides at a single site. Nowadays, Universities’ maintaining dta is needed to build ...

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