UCSY's Research Repository

Browsing Local Conference on Parallel and Soft Computing by Title

Browsing 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 ...
  • Cancer Diagnosis Using K-Means Clustering 
    Mon, Aye Chan (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The proliferation, ubiquity and increasing power of computer technology has aided data collection, processing, management and storage. However, the captured data needs to be converted into information and knowledge to ...
  • Car Park Control System by Microcontroller 
    Htun, Kay Khine (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    PIC microcontroller has become a real powerhouse with regards to available support. In many ways, the PIC microcontroller has more support available than other electronic devices. Microcontroller is a complete computer ...
  • A Cascaded Approach to Text Normalization for Email Data Cleaning 
    Theint, Aye Aye; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Email is one of the commonest modes of communication via text. By using email, people are sending and receiving many messages per day and communicating with partners and friends. Most of email data is very noisy. Thus, ...
  • A Case Base Travel Advisory System for Personalization 
    Thin, Ei Ei; Mar, Win (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Web personalization and one to one marketing have been introduced as strategy and marketing tools. By using historical and present information of customers, organization can learn, predicts customer’s behavior and develop ...
  • Case Based Reasoning System for Diagnosing Gastric and Intestinal Diseases 
    Win, Cho Ei Mon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Case Based Reasoning is a problem solving method which can generate the solution of a new problem by retrieving a solution of a previous similar case. In Case Base Reasoning Systems, old cases are used by an algorithm to ...
  • Case –Based Reasoning (CBR) Based on Fuzzy Set Approach For Rainfall Prediction 
    Soe, Nang Nwe Nwe; Win, Khin May (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Rainfall predictions and warnings are the most important services provided by the meteorological profession. Predictions are used by government and industry to protect life and to improve the efficiency of operations, and ...
  • Case-Based Reasoning Applied to Employee Search 
    Kyaw, Thein Gi; Tun, Myint Thu Zar (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Expert System is a high performance problem solving capable of simulating human expertise in domain. A case-based reasoning (CBR) is an approach that allows one to solve a new problem using or adapting a solution of ...
  • Case-Based Reasoning for Classification of Acute Poisoning 
    Aung, Myat Soe; Kham, Nang Saing Moon (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Case based reasoning (CBR) is very important subfield of artificial intelligence which is growing rapidly. CBR based applications are used very commonly in many different fields. In this paper, we present classification ...
  • Case-Based Reasoning for Protein Sequence Classification 
    Wai, Phyo Min; Han, Ei Ei (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    The special advantage of CBR is that a case can be a very convenient means of capturing knowledge, especially in weak theory domain where the relationship between case and effects may not be well understood. In this purpose ...
  • Case-Based Reasoning System for Car Fault Diagnosis 
    Myint, Kyaw Phone; Khine, May Aye (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Case-Base Reasoning (CBR) system is an artificial intelligent approach to learning and problem solving based on last experiences. The knowledge of case adaption is used to guide the retrieval process. Possible adaption ...
  • Categorization of Academic Performance for improving E-education 
    Wai, Htet Su; Lwin, Mar Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The use of web interfaces across organizations’ applications for cooperating and supporting has come to a dramatic increase in number of users to get effective systems. Current Web technologies employed to build up web ...
  • Categorization of computer science papers using random forest 
    Oo, Zin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Automatic categorization of text document is difficult and time consuming. This thesis proposed a method for automatic categorization of computer science paper using random forest classifier. Decision trees are widely ...
  • Centralized Peer-to-Peer Courseware Sharing System for UCS 
    Win, Thin Su Su; San, Kalyar Myo (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Today, thanks to the development of a number of advanced P2P file sharing applications, the reach and scope of peer networks has increased dramatically. Moreover, Centralized application architecture also become important ...
  • Classification Analysis using Back Propagation Neural Network and Radial Basis Function Neural Network 
    Lab, Ya Min Su; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Neural networks are a very popular data mining, classification and image processing tool.The fundamental concept of neural networks is the structure of the information processing system composed of a large number of ...
  • 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 Brain Cancer by Using Naïve Bayesian Classifier 
    Kyaw, Zin Mar Win; Maw, Aung Htein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Brain tumors typically behave in a unique fashion compared to neoplasm occurring elsewhere in the body. In particular, they rarely spread to other parts of the body and typically produce symptoms due to localized growth ...
  • Classification of Breast Cancer Using Radial Basic Function Neural Network 
    Oo, Khin Mar Lar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Breast cancer is the second most common form of cancer among females and also the fifth most cause of cancer deaths worldwide. The early detection is the best form of cure and hence timely and accurate diagnosis of the ...
  • Classification of Butterfly's Sub Families System using Fuzzy Bayesian Decision Method 
    Aung, Nway Yu; Aung, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data Mining refers to extracting or mining knowledge from large amounts of data. Classification is an important technique in data mining. Classification is the process of finding a set of models that describe and ...
  • 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 ...

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