Sixth Local Conference on Parallel and Soft Computing: Recent submissions

  • ICU Patients Classification System by Using CART Algorithm 
    Hlaing, Swe Swe (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, the advancement in computing technology and the realibility of computers has led to signification changes in the way that data are collected and analyzed. This system is to predict the risk level of patients in ...
  • Heart Attack Risk Level Prediction System Using Navie Bayesian Classification 
    Soe, Mu Mu; Win, Thandar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data Mining refers to using a variety of techniques to identify suggest of information or decision making knowledge in the database and extracting these in a way that they can put to use in areas such as decision support, ...
  • Health Care System for Lung Disease Classification using Modified Gini 
    Wai, Tin Yu; Pa, Win Pa (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. Classification has been used for predicting medical diagnosis. Human experts in medical field are frequently ...
  • 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 ...
  • Diagnosis of Diabetes by using Naive Bayesian Classifier 
    Tun, Kaythi; Myo, Nyein Nyein (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Bayseian Classifier can predict class membership probabilities, such as the probability that a given sample belongs to a particular class. They are Powerful tools for solving classification problems in a vareity of domains. ...
  • 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. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 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 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 ...
  • Acomparative study of K-Means and KMIX Clustering methods 
    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 ...
  • Web Document Clustering using Genetic Algorithm 
    Hein, Pyae Sandi; Khine, May Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Clustering (or cluster analysis) is one of the main data analysis techniques and deals with the organization of a set of objects in a multidimensional space into cohesive groups, called clusters. Each cluster contains ...
  • Implementation of Travelling Plan Using Decision Tree Algorithm 
    Mon, Aye Myat; Mar, Win (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining is the tasks of discovering interesting pattern from large amounts of data where the data can be stored in database, data warehouse. Data classification is the process of building a model from available data ...
  • Implementation of Travel Insurance System (TIS) with Rule-Based Classification 
    San, Lay Myint Myint; Phyu, Thae Nu (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, a number of classification system have been developed depending on the intended propose of the system. This paper tries to classify exact indemnity for travel Insurance System (TIS) using Rule-Based classification ...
  • Implementation of Marketing Analysis System Using K-Means Clustering Method 
    Win, Khin Pyone; Khin, Myo Myo (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Marketing is the process of planning and executing the conception, pricing, promotion and distribution of ideas, goods and services to create exchanges that satisfy individual and organizational objectives. In this paper, ...
  • Implementation of Customer Relationship Management system using Apriori Algorithm for Online Shopping 
    Thwin, Khaing Yee Mon; Nwe, Khine Moe (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Customer relationship management (CRM) is an approach that recognizes that customers are the cores of the business and the company’s success effectively depends on managing their relationship with them. The propose system ...

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