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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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  • Oo, Myat Htun; Htun, Myint Thu Zar (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Classification is an important data mining technique which predicts the class of a given data sample.Classification allocates new object to one out of a finite set of previously defined classes pm the basis of observations ...
  • Oo, Myat Htun; Htun, Myat Thu Zar (ThirdLocal Conference on Parallel and Soft Computing, 2009-08-03)
    Classification is an important data mining technique which predicts the class of a given data sample.Classification allocates new object to one out of a finite set of previously defined classes pm the basis of observations ...
  • Phyu, Poe Ei; Maw, Soe Yu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Around the world, organizations of all sizes have pledged their commitment to build and maintain comprehensive portals to serve their customers employees, trading partners, and constituents. Corporations in all ...
  • Oo, Hnin Wit Yi (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Along with the economic development, traffic hasincreased enormously these days. Due to the increasing urban population and hence the number of cars, need of controlling the traffic on roads is vital. Automatic detecting ...
  • Aye, Chan Pyi Pyi (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Most applications today are using web service to collaborate each other, e.g., weather reports, credit checks, stock quotations, or currency exchange. Web service provides a standard means of interoperating between different ...
  • Ko, Lei Mon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    CBR (Case Based Reasoning) is an Artificial Intelligence methodology that provides the foundations for technology of intelligent systems. CBR receives increasing attention within the AI community.CBR is an analogical ...
  • 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 ...
  • Ei, Phyo Phyo; Renu; Myint, Nilar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In many areas, large quantities of data are generated and collected everyday, such as supermarket, business, astronomy, geography, phone call records etc. These data arrive too fast to be analyzed or mined in time. The ...
  • Hlaing, Thazin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Classification is data analysis process that can be used to extract models describing important data classes or predict future data. Classification of large data sets is an important data mining problem. Decision tree, ...
  • Mon, Aye Nyein; Naing, Thinn Thu (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Distributed System is a collection of independent computers that appears to its users as a single coherent system. Distributed processing has become more and more important and attractive with progress in the areas of ...
  • Aung, Hay Mar Nyein Chan; Mar, Win (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today, people living at different periods have different aesthetical view on cloths and pursue different purpose for clothes. Customers desire to personalize the style, fit and color of the clothes; they buy, and require ...
  • Aye, May Po Po; Nge, Mi Mi (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Now Intelligent Tutoring System (ITS) is used widely online learning and teaching. Intelligent tutoring system (ITS) is any computer system that provides direct customized instruction or feedback to students; i.e. without ...
  • Lin, Nu Nan Dar; Aung, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Ontology is becoming increasingly widespread in the computer science community, and its importance is being recognized in a multiplicity of research fields and application areas. Ontology comprises as the concept, ...
  • Ei, Ei; Maw, Aye Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Concurrency control in distributed systems is an important problem for the simultaneous execution of transaction over a shared database can create several data integrity and consistency problem. The distributed system ...
  • Khine, Kyi Lai Lai; Htoon, Chaw Yupar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In many situations, the quality of decision is important, human judgment and decision making has been a major focus of science and technology. Decision Support Systems (DSS) are defined as interactive computer-based systems ...
  • Pwint, Yin Su; Han, Thwe Mu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The fundamental aim of this paper is to design and construct PC based control system. Firstly, the window of this system is designed to display the states of door and window with the setting for start and end time. ...
  • Naing, Le Mun; Hlaing, Swe Zin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A course recommendation system is used to provide students some suggestions when choosing courses for online. Within courses, the most appropriate courses then are able to find out for making suggestions to students. ...
  • Oo, Thaw Tar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Credit classification is a system that determines credit applicants, either “good credit” one that is likely to repay financial obligation or “bad credit” one who has high possibility of defaulting on financial obligation, ...
  • Thwin, Khaing Yee Mon; Nwe, Khine Moe (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Customer relationship management (CRM) is an approach that recognizes that customers are the cores of the business and the company’s success effectively depends on managing their relationship with them. The propose system ...
  • 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 ...

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