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Browsing Local Conference on Parallel and Soft Computing by Title

Browsing Local Conference on Parallel and Soft Computing by Title

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  • Maung, Thiri; Hlaing, Swe Zin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    As the technology grows rapidly, medical diagnosis reasoning is a very important application area of computer-based system. People take a great interest in computer and then computerbased methods are increasingly used ...
  • Cherry, Hnin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Rough set theory is based on the establishment of equivalence classes within the given training data. All of the data samples forming an equivalence class are indiscernible, that is, the samples are identical with respect ...
  • Swe, Thinn Mya Mya; Kham, Nang Saing Moon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In medical applications, domain knowledge may be used to avoid wrong decisions, to be able to make a correct decision for strong working diagnosis and partly for therapeutic purpose. In this paper, the Case Based Reasoning ...
  • Myint, Khaing Mar lar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The World Wide Web information grows explosively in the Internet and people encounter problem to pick some correct things from the overwhelming set of choices. The recommender systems help them choose something they actually ...
  • Zin, Moh Moh Myint (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    With the development of computer and expanding its use in different areas of life and work, the issue of information security has become increasingly important. The art of sending and displaying the hidden information ...
  • Phyu, Phyu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, people widely use computer networks to communicate from one place to another. Security is needed to protect data from hacker. Cryptography is one of the primary ways to do the job. In cryptography, encryption is ...
  • Oo, Zin Mar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Electronic clocks have predominately replaced the mechanical clocks. They are much reliable, accurate, maintenance free and portable. In general, there are two kinds of electronic clocks. They are analog clock and ...
  • Zin, Thu Thu Zue; Oo, Hlaing Thida (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    PIC control application is widely used and popular in modern elections. The aim of this paper is design and construct the fan speed control system with microcontroller. PIC 16F877 and photo transistor is used for the system. ...
  • San, Myat Kaung; Oo, Hlaing Thida (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This system is based on the microcontroller based reversible motor speed control system. The sun tracking system uses a reversible motor to rotate the desire direction. A DC motor drives forward and backward direction ...
  • Htut, Hla; Oo, Hlaing Thida (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    PIC controlling system is widely used and very popular in industrial control. The aim of this paper is to design Microcontroller based temperature control system and to construct. PIC model 16F877 and LM 35 DZ temperature ...
  • Mon, Pan Myat; Renu; Oo, Thet Lwin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Association rule mining is a process that identifies links between sets of correlated objects in transactional databases where each transaction contains a list of items. Association rule is one of the well-defined algorithms, ...
  • Oo, Thin Zar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    PG Miner, a graph-based Algorithm for mining frequent closed item sets consists of construction a prefix graph structure and decomposing the database to variable length bit vectors, which are assigned to nodes of the graph. ...
  • Thein, Lwin Po Po; Nyunt, Kyi Zar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    In data mining, association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. Association rules describe events that tend to occur together. ...
  • Nwe, Tin Tin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Database mining is the process of extracting interesting and previously unknown patterns and correlations from data stored in Database Management System (DBMS). Association rule mining is the process of discovering items, ...
  • 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 ...
  • Soe, Aye Thandar; Aye, Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Frequent itemsets mining is a discovery of interesting associations and correlations between itemsets in transcational and relational databases. Associaton rule mining is a popular method in the retail sales industry where ...
  • Lynn, Nay Chi; Moe, Khin Myat Myat (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Frequent itemsets mining plays an important part in many data mining tasks. This technique has been used in numerous practical applications, including market basket analysis. This paper presents mining frequent itemsets ...
  • Wai, Chit Hsu; Myo, Khin Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays Social Network analyses are receiving a lot of attention for researchers. By knowing the knowledge of social network, it can be applied in many application areas such as co-author finding, research group finding, ...
  • Yi, Nay; Zaw, Wint Thida (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    The rapid growth in data and the number of database, there is a need for discovering valuable knowledge in large database which have business data. Today, many companies which are to gain profit from their previous business ...
  • Phyu, Mya Kyar; San, Khaing Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. Sequential pattern mining is to find all frequent sequential pattern ...

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