UCSY's Research Repository

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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  • Lwin, No No Saw (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Clustering is the processof grouping the similar objects into the same group and produce characteristic for each cluster. Partition-based clustering algorithms are simple to implement. K-Means is one of the partition based ...
  • Linn, Thu Zar; Aung, Than Htike (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Association rule mining is widely used in business enterprise to analyze for marketing strategies and its good is to find interesting association or correlation relationship among a large set of data items. With massive ...
  • Aung, Su Wit Yi; Min, Mar Mar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    There have been major land-changes in the planet in the last decades, especially in tropical forest areas. Identifying the deforestation patterns is important for establishing public policies that can help preserve the ...
  • San, Aye Myat (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Electrocardiogram (ECG) signal provides useful information of the condition of the heart. Most automatic ECG diagnosis techniques require an accurate detection of the QRS complexes. Among all ECG components, QRS complex ...
  • Samn, Eant Htoo; Tun, Nay Min (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Creating the common security basic is one of the most important tasks for all security system Cryptographic techniques are particularly important and indispensable components of the electronic communication system, ...
  • Soe, Thinzar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Steganography is the technique of hiding confidential information within any media. Embedding convert audio message in cover speech utterances for secure communication is considered. Information embedding by bit modification ...
  • Myat, Khin Wah Wah (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Association rule mining is finding frequent patterns, association, correlations among sets of items or object in transaction databases, relation databases, and other information repositories . Association rule mining ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...

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