UCSY's Research Repository

Browsing Fourth Local Conference on Parallel and Soft Computing by Author "Zaw, Wint Thida"

Browsing Fourth Local Conference on Parallel and Soft Computing by Author "Zaw, Wint Thida"

Sort by: Order: Results:

  • Association Rule Mining Using Support-Order Tree and Apriori Algorithm 
    Htet, Nan Thu Thu; Zaw, Wint Thida (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Many valuable data have been stored in database for years in business world. Due to rapid growth in size and number of database, raw data are so abundant that manual analysis is no longer possible. Thus, the importance of ...
  • Quantitative Association Rules Mining for Business Transactional Data 
    Nyaung, Dim En; Zaw, Wint Thida (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The explosive growth in data and database has generated a need for techniques and tools that can transform the processed data into useful information and knowledge that improves marketing strategy. Association rules mining ...
  • Recommending Generalized Products in Collaborative Filtering 
    Htun, Aye Kaday; Zaw, Wint Thida (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems are particularly useful for computer users, here decisions must be normally taken in a short time and the effort required for interacting with the system must be limited as much as possible. The ...
  • Spam Filtering System using Case -Based Reasoning Approach 
    Win, Khin Sandar; Zaw, Wint Thida (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    As the vast increases of the electronic mail (email) usages continue, spam (unsolicited bulk mail) has continued to grow because of it is a very inexpensive method of advertising. These unwanted emails can cause serious ...
  • Web based Decision Support System for Job Selection Using Analytic Hierarchy Process 
    Oo, Su May; Zaw, Wint Thida (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Decision Support System (DSS) provides information, models, and data manipulation tools to help make decisions in semi-structured and unstructured situations where no one knows exactly how the decision should be made [3]. ...

Search Repository



Browse

My Account