Eighth Local Conference on Parallel and Soft Computing: Recent submissions

  • Aung, Kay Thi (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper presents a study of regression analysis for use in stock price prediction. The system shows the stock market trend of the specified bank using the previous stock prices. Data were obtained from the daily ...
  • Yadanar, Aye Mya; Maw, Aye Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Most Nursery Care Schools support to families and improve the living standards of the children in terms of education, health and nutrition. Nursery Care School acquires children’ health condition and knowledge to accept ...
  • Wai, Thinn Yu; Yee, Myint Myint (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, everybody is facing many problems with making decisions and future planning of global and regional works all over the world. In many situations, one may be able to make decision based on the different ...
  • Kyaw, Yamin; Aye, Nilar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Multi-criteria decision-making or multicriteria decision analysis is a sub-discipline of operations research that explicitly considers multiple criteria in decision-making environments. Whether in our daily lives or ...
  • Aung, Lwin Moe; Nyunt, Thi Thi Soe (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    SQL is a special-purpose programming language designed for managing data held in a relational database management system. XQuery is a standardized language for combining documents, databases and Web pages. Among many ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...

Search Repository



Browse

My Account