Conferences: Recent submissions

  • Searching Optimal Bus-routes based on Frequent Subgraph Mining 
    Lwin, Khin Moe; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper proposed an approach of searching the optimal bus-routes based on data mining technology called Frequent Subgraph Mining (FSM).FSM is an important task for exploratory data analysis on graph data. Many approaches ...
  • Credit Card Classification using Integration of Hierarchical Agglomerative Clustering and C4.5 Decision Tree 
    Tun, May Thet (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Credit card classification is a system for credit card users which is used to assign either a "good credit card ",which is likely to repay financial obligation, or a "bad credit card ", which has high possibility of ...
  • Analysis of Customer Buying Behavior using Equivalence Class Transformation (ECLAT) 
    Ei, Htet Htet; Lwin, Wai Wai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Many organizations are being interested in mining association rules from business records because they desire to promotethe benefit from large amount of data that are continuously stored in databases. Discovery of ...
  • Analysis on Efficiency of Apriori and MBAT Algorithms 
    Aung, Yu Nandar; Zaw, Ei Phyu (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Data Mining is a fast developing field of computer science and technology, which are helpful to enable end users for decision making process. One of the most important data mining processes is that of Association Rule ...
  • Analysis of Weighted Associative Classifier, Naïve Bayesian and Decision Tree Classifierson Heart Disease 
    Yee, Hnin Lai; Myint, Mu Mu (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The healthcare system collects large amounts of healthcare data which unfortunately, are not mined to discover hidden information for effective decision making. Discovery of hidden patterns and relationships often goes ...
  • Classification of Lung Diseases Using Decision Tree Algorithm (C4.5) 
    Khine, Hnin Htet Htet (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, it is increasing usage of data mining techniques on medical data for discovering useful trends and patterns that are used in diagnosis and decision making. Decision Tree is one of the successful data mining ...
  • Classification of Heart Disease Using Resilient Back Propagation Algorithm 
    Maung, Khin Yadanar; Lwin, Nyein Nyein (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Heart disease diagnosis is a complex task which requires much experience and knowledge. Traditional way of predicting Heart disease is doctor’s examination or number of medical tests such as ECG, Stress Test, and Heart ...
  • Enhanced Matrix based Frequent Accessed Pages Mining Algorithm 
    Aung, Tharyar; Tun, Khin Nwe Ni (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In computer science and Web mining which is an interdisciplinary subfield of computer science, is the computational process of discovering patterns in web log files. The overall goal of the web mining process is to ...
  • Movie Recommender System by using Item-based Collaborative Filtering Algorithm 
    Kyin, Cherry; Bo, Khin Sandi (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Recommender system applies discovery technique to support online users find desired products and services, etc. Recommender system technologies are needed that people can quickly produce high quality recommendations, ...
  • Analyzing Calendar based Association Rule Using FP-growth Algorithm 
    Phyo, Thazin; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper is presented the mining association rules among items in a large database of sales transactions. The mining of association rules can be mapped into the problem of discovering large itemsets which appear in ...
  • Discovering the Association Rules in Data Cube from Web Server Log Files 
    Kyaw, Phyo Tinzar; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Analyzing and exploring regularities in the behavior of the web page reader is imprinted on the web server log files can improve system performance; enhance the quality and delivery of Internet information services to ...
  • 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 ...
  • Outliers Detection and Analyzing for Diabetic and Non-Diabetic Patients by Using Two-Phase Clustering 
    Htwe, Hsu Mon; Phyu, Aye Lei Lei (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Outliers are the set of objects that are considerably dissimilar from other values in a random sample from a population. Outliers are important because they can change the results of data analysis. In this paper, ...
  • Mining Constraint Association Rule Using Direct Algorithm 
    Myat, Phyu; Nyunt, Thi Thi Soe; Phyu, Thir Nu (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Discovering association rules has received considerable research attention and several fast algorithms for mining association rules have been developed. In practice, users are often interested in a subset of association ...
  • Content-Based Graph Matching System Using Graph Isomorphism and Sub Graph Isomorphism Algorithms 
    Thuzar, Hla; Tun, Khin Mar Lar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Finding graph isomorphism and sub graph isomorphism is an important problem in many applications which deal with data modelled as graphs. Graphs can represent biological networks at the molecular, protein, or species ...
  • Feature Selection for Rule-Based Classification of Fish Types Using Information Gain 
    Wai, Yadanar; Aye, Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Classification is a process of finding the common properties among various features and classifying them into classes.The feature selection process is very important which selects a subset of relevant features, so that ...
  • Prediction for Production Rate of Paddy Using Bagged Classifier Based on NBC 
    Htaik, Ei Yamin; Aye, Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    A popular method for creating an accurate classifier from a set of training data is to train several classifiers, and then to combine their predictions. One way to generate an ensemble of simple Bayesian classifiers ...
  • Tutoring Library System using Case- Based Reasoning 
    Aung, Yupar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper proposes a tutoring library system based on case-based reasoning approach for library users. Each case in the case library is represented in terms of presuggested set of chapters from different books in ...
  • Documents Classification by UsingBi- Dimensional Probability Model 
    Oo, Myat Su (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper proposes to implement Bi- Dimensional Probabilistic Model (BDPM). This model is to find a bi-dimensional representation of textual documents for the problem of text categorization. The main idea is to consider ...
  • Implementation of Encryption System by using Tiny EncryptionAlgorithm (TEA) 
    Naing, Thin Wai Wai; Wai, Khaing Khaing (2017-12-27)
    The messaging system has become the most popular for electronic communication in the world. This paper is intended to implement secure messaging system for electronic communication. In this age of viruses and hackers ...

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