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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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  • Zaw, Lai War; Aye, Nilar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Computer have become an indispensable tool in the Health Care Industry. As technology grows rapidly many people take great interest in computer and then computer based method are used to improve the quality of the ...
  • Oo, Zin May; Aye, Hnin Hnin (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Noise acts as a disturbance in any form of communication which degrades the quality of the information signal. Adaptive noise cancellation (ANC) is an alternative technique of estimating signals corrupted by additive ...
  • Naing, Moe Ka Lhyar; Khin, Myo Myo (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Time Scheduling System represents a subclass of scheduling problems that are hard to solve. Genetic Algorithm (GA) has emerged as a useful tool for the scheduling and timetabling problem. This paper is concerned with the ...
  • Shein, Khin Kyaw Kyaw; Soe, Khin Nyein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Most of the businesses have a problem when interacting with their customers to sell goods or to give services. They have to make a lot of conservation with customers about availability of goods and services by discussing ...
  • Zin, Thet Thet (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Machine Translation is defined as the task of transforming an existing text written in a source language, into an equivalent text in a different language, the target language. The statistical machine translation approach ...
  • Zin, Thet Thet (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Machine Translation is defined as the task of transforming an existing text written in a source language, into an equivalent text in a different language, the target language. The statistical machine translation approach ...
  • San, Lay Myint Myint; Phyu, Thae Nu (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, a number of classification system have been developed depending on the intended propose of the system. This paper tries to classify exact indemnity for travel Insurance System (TIS) using Rule-Based classification ...
  • InZaLi, Htar; Kham, Nan Si (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Travels and tourism service is developing and very popular around the world and information technology is having a big effect on all sectors of tourism. Tourists have problems to find what they are looking for, especially ...
  • Mon, Aye Myat; Mar, Win (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining is the tasks of discovering interesting pattern from large amounts of data where the data can be stored in database, data warehouse. Data classification is the process of building a model from available data ...
  • Yu, Hnin Myat; Thein, Naychi Lai Lai (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The web is a huge repository of information and there is a need for categorizing web documents to facilitate the search and retrieval of pages. Existing algorithms rely solely on the text content of the web pages for ...
  • Aung, Thae Nu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Web Crawler forms the back-bone of applications that facilitate Web information retrieval. Generic crawlers and search engines are like public libraries: they try to cater to everyone, and do not specialize in specific ...
  • Tun, Han Ni (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In the world of today internet and computer technology have immeasurably increased the availability of information. However, as the size of information systems increases, it becomes harder for users to retrieve relevant ...
  • Yatanar, Hsu; Hole, Gilmour (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    World Wide Web is a growing sea of information accessible to different kind of user. One of the problems that caused by the rapid growth of the Web, which is called information overloading because WWW becomes to grow into ...
  • Kywe, Phyo Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    As Recommender systems are an important part of recent E-commerce, this paper is proposed to recommend the items to a user based a description of the item of the user’s interests and them allows the user to see more details ...
  • Mhon, Gant Gaw Wutt; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Web usage mining is the discovery of user access patterns from Web usage logs. The paper presents two XML (Extensible Markup Language) 1.0 applications and a web data mining application which utilizes it to extract web ...
  • Phyu, Pearl Su (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Proximity Search is successfully used in Information Retrieval (IR) System to query the keywords that occurring near each other. This system implemented the web based on approximate search and proposed on the client server ...
  • Khaing, Ei Ei; Soe, Khin Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Statistical word alignment models have been widely used for various Natural Language Processing (NLP) problem. In statistical machine translation, word alignment models are trained on bilingual corpora. To build an SMT ...
  • Oo, Thazin; Htwe, Tin Myat (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Solving problems by translating them to propositional logic has been found recently as a very successful approach in many application domains. Highly optimized satisfiability solvers have been used to find solutions of ...
  • Aung, Zay; Naing, Thinn (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In traditional association rule mining that based on Apriori-like algorithm, all frequent itemsets are computed and strong association rules are then generated from the set of all frequent itemsets as a next step. By ...
  • Kham, Nang Saing Moon; Maw, Sis Hmue (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    All around the world, people experience delays due to bad traffic conditions and finding the best possible roads in road network from given source to given target location is an everyday problem. Graph database technology ...

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