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Browsing Sixth Local Conference on Parallel and Soft Computing by Issue Date

Browsing Sixth Local Conference on Parallel and Soft Computing by Issue Date

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  • 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 ...
  • Web based Multi-Agent System for Real Estate 
    Aung, Su Thandar; Sandar, Khin (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    A multi-agent system is a collection of multiple intelligent agents that interact with other agents or environments to achieve its goal by communication, coordination and cooperation. The agent acts like a personal assistant ...
  • Implementation of Healthy Diet System by using Big-M Method 
    Thu, Aye Myat (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    This system produces healthy diet menu set plan to get foods to keep healthy life. BMI and BMR formula is used to estimate how much daily calories should consume order to maintain weight. Many models can be made by using ...
  • Building Association Rule Mining System By Using Prime Number Based Apriori Algorithm 
    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 ...
  • An Investigation into Variants of Great Deluge(GD) for Hyper-Heuristic (HH) Approach 
    Sin, Ei Shwe; Kham, Nang Saing Moon (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today, Hyper-Heuristic is not new in AI Field. It is an emerged search technology to select or generate (new) low level heuristics for combinatorial optimization problem and has been applied in many problem domains: personal ...
  • Diagnosis of TB Disease by Using Decision Tree Induction 
    Naing, Soe Kalayar; Myo, Nyein Nyein (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Decision tree learning algorithm has been successfully using in data minng for training data set. In this system, the main task performed is using inductive methods to the given values of attributes of an unkown object to ...
  • 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, ...
  • Hotel Information agent System Using Web Service 
    Maw, Aye Aye; Aung, Nwe Ni (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, hotels are in the large-scale distributed environments where each site offers services to user through transparent external communication. Web Services are becoming one of the most important paradigms for the ...
  • Implementation of Agent-based Mechanism for Multiple Criteria English Reversed Auction 
    Oo, Khaing Wai; Yuzana (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Auctions are a fundamental mechanism to automate negotiations in electronic commerce. This paper presents agent-based mechanism for autonomous multiple criteria reverse English auction. In the multiple criteria auctions, ...
  • 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 ...
  • Development of SaaS (Software as a Service) Framework on Private Network 
    Wutyi, Hnin (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Software as a Service (SaaS) is a way if delivering applications over the internet – as a service. SaaS is a one methodologies of Cloud Computing and also model of Software development. The problem of on-premise software ...
  • 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 ...
  • 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. ...
  • A privacy Control System in Cloud Computing Environment using Identity based Encryption and Signature (IBE and IBS) 
    Kyaw, Cho Cho (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Privacy protection play a vital role to build up the cloud computing environment. This system intends to implement secure cloud privacy system using Identity based Encryption (IBE) and Identity based Signature (IBS) ...
  • 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 ...
  • Analysis of Strong Data By Using Apriori Algorithm 
    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 ...
  • 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 ...
  • Multi-agent Based Booking Arrangement System for High-Speed Boats 
    Hlaing, Su Su (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Agent technology is rapidly emerging as a powerful computing paradigm to cope with the complexity in dynamic distributed systems in transportation systems such as ticket booking. This paper describes the use of software ...
  • Rijndael Cryptographic Technique for Securing Storage System 
    Ei, Nyein Nyein; Kyu, Khin Kyu (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    The general idea of the paper is to encrypt the selected data in the datasheet using Rijndael cipher, and then save the cipher text to the storage media. Rijndael is a substitution-linear transformation network with ten, ...
  • 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 ...

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