UCSY's Research Repository: Recent submissions

  • Conversion of XML schema to data warehouse schema 
    Wai, Khin Htar; Tun, Khin Nwe Ni (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Data warehousing technology aims at providing support for decision making for operational data. Defining a data warehouse for data stored in XML (Extensible Markup Language) format should be addressed as various org ...
  • Mandatory Access Control ByBiba Model 
    Zune, Sheilar; Kham, Nang Saing Moon (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Database security and integrity are essential aspects of an organization’s security posture. Database security is the system, processes, and procedures that protect a database from unintended activities. It is important ...
  • Implementation of Case-based Reasoning System for Criminal Judgement 
    Myint, Tin Thu Zar; Nwe, Tin Htar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Case-Based Reasoning (CBR) is the process of solving new problems based on the solutions of similar past problems. The CBR can be used to find the specific knowledge of previously experienced problem situations (cases).The ...
  • Classification the Stages of Breast Cancer Using ELEM2 (Extension of Learning from Examples Modules Version 2) Algorithm 
    Zin, Ei Ei (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Breast cancer is the most common form of cancer among women world-wide and its early detection can improve the chances of successful treatment and recovery. In this paper we are using data mining techniques for diagnosis ...
  • Optimizing Fuzzy Clustering With Differential Evolution Algorithm 
    Win, Soe Theint Theint; Aung, Khin Sandar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    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.Clustering is ...
  • Recommendation System for Library using Hybrid with Pearson’s Correlation and Slope One Algorithm 
    Swe, Thuzar; Win, Thinn Thinn (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Recommender System generates meaningful recommendations to users for items or products that might be interesting for them. It can help people to find interesting things and is widely used with the development of ...
  • Document Ranking System Using Pivoted Document Length Normalization 
    Aung, Htar Htar; Phyu, Hnin Pwint (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Information Retrieval System is used in many applications for searching information within databases or documents. With the growth of information, it becomes increasingly difficult to retrieve the relevant documents. ...
  • Comparative Analysis of K-means Algorithm and Fuzzy C-means Algorithm 
    Zaw, Hnin Htet Htet (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Data clustering is an important area of data mining. This is an unsupervised study where data of similar types are put into one cluster while data of another types are put into different cluster.In K-means, data is ...
  • Implementation of Data Mart using OLAP with University Fact Constellation Schema 
    Oo, Thaw Thaw May (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Business Intelligence, the process of gathering, storing and analyzing data, building knowledge from the analysis and taking action based on the knowledge is the single most powerful success factor in business ...
  • WAS: Grouping of Web Sessions using Sequence Alignment Method 
    Aye, Hnin Nu; Maw, Myint Myint (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The World Wide Web (WWW) is serving as a huge widely distributed global information service center for technical information. Web based information and web applications are exploited the navigational traces of the users ...
  • 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 ...

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