• Implementation of Decision Support System with Multi-Agent System by using Analytic Hierarchy Process (AHP) 

  Htun, Naing Lynn; Ko, Lynn Min (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  An innovative, cost-effective service, Advanced Medical Reviews is setting the standard for providing high quality, prompt concurrent medical necessily, retrospective and readmission reviews with emphasis on getting the ...
• Implementation of Clothing Service Process by using CRP for Tailoring Management System 

  Aung, Hay Mar Nyein Chan; Mar, Win (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  Today, people living at different periods have different aesthetical view on cloths and pursue different purpose for clothes. Customers desire to personalize the style, fit and color of the clothes; they buy, and require ...
• 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 ...
• A Job Selection System Based on Analytical Hierarchy Process (AHP) 

  Ko, Thin Zar Ko; Zaw, Win Win (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  Decision-making is the process of identifying and selecting from among possible solutions to a problem according to the demands of the situation. When considerable matters are ambiguous, people are difficult to decide. ...
• Sale System of Computer and ists Accessories with Xpath Processing from XML Database 

  Kyaw, Win Thiri; Oo, Ingyin (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  Extensible Markup Language (XML) is fast emerging as the domain standard for representing data in the World Wide Web. Xpath is a l;anguage for addressing, structural parts of an XML docvuments. The Xpath language is ...
• Privacy-conscious Approach on SQL Query using bb-PIR 

  Nwey, Zun Nyein (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  Privacy information retrieval (PIR) can be viewed as a service between a user and a database. Private retrieval of public data is critical in these days when a client wants to query a public data service without expressing ...
• Implementation of Storage Methods for XML Documents in Relational DBMS 

  Wai, Su Latt; Myint, Aye Sandar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  While storing XML documents in RDBMS, serveral methods can be used. This paper is intended to implement a system for storing XML documents is Relational Database Management Systems. This proposed system is chosen toimplement ...
• Implementation of Elastic Storage Management on Huffman Method 

  Oo, Yadanar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  Elastic storage management plays a vital role to implement for cloud storage system. In the cloud storage system, data are stored and compressed in several ways. This system intends to implement an elastic storage system ...
• 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 ...
• 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 ...
• 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 ...
• XML Documents Classification using Composite SVM Kernel 

  Soe, Htet Khine (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  More and more structured or semistructured data is stored and exchange in XML format. XML mining becomes increasingly important, especially the study of classification of XML documents. As the number of XMLdocuments on the ...
• Training Neuarl Network with Partical Swarm Optimization 

  Moe, Khin Thant Zin (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  Feed-forward networks are one of the most used neural networks in various domains because of their universal approximation capability. One of the popular algorithms for training multilayer feed-forward network is ...
• Study on Particle Swarm Optimization based Clustering 

  Moet, Moet (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  Clustering (or cluster analysis) aims to organize a collection of data items into clusters, such that items within a cluster are more “similar” to each other than they are to items in the other clusters. There are many ...
• Recommender System for Online Learning Using Personalization with K-Means Clustering Algorithm 

  Aein, Hsu Pan; Win, Thandar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  Recommender Systems are software tools and techniques providing suggestions for items to be of use to a user. Recommder systems have proven to be valuable means for online users to cope with the information overload and ...
• Mining the Classification Rules for Infectious Skin Diseases in Children 

  Myo, Nan Kathy; Khine, May Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  The healthcare industry collects huge amount of healthcare data which, unfortunately, are not mine for discover relation and hidden information for effective decision making. Advance data mining techniques can help remedy ...
• Mining Multilevel Association Rulesbased on Boolean Matrix for Food Sales shop 

  Yi, Nay; Zaw, Wint Thida (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  The rapid growth in data and the number of database, there is a need for discovering valuable knowledge in large database which have business data. Today, many companies which are to gain profit from their previous business ...
• Mining Electronic Itemsets by Using EClaT Algorithm with Correlation Analysis 

  Soe, Aye Thandar; Aye, Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  Frequent itemsets mining is a discovery of interesting associations and correlations between itemsets in transcational and relational databases. Associaton rule mining is a popular method in the retail sales industry where ...
• Mining Association Rules for Construction Accessories Shop 

  Thein, Lwin Po Po; Nyunt, Kyi Zar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  In data mining, association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. Association rules describe events that tend to occur together. ...
• Incremental Mining of Association Rules by Using Adaptive Algorithm 

  Htoo, Naw Lu Lu (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)

  Data mining has recently attracted tremendous amount ofattention in the database research because of its wide applicability in many areas, including decision support, market strategy and financial forecast. One of the most ...

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