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  • Wai, Zin Mar; Win, Kalyar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Clustering is the process of grouping the data into classes or clusters. Objects within a class have high similarity in comparison to one another, but are very dissimilar to objects in other clusters. In this paper we ...
  • Htun, Win Pa Pa (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Building a new document needs the preparation of required information and finding the related written parts that have already identified from existing documents. In this paper, we outline the importance of structuring ...
  • 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. ...
  • Oo, Myat Su (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper proposes to implement Bi- Dimensional Probabilistic Model (BDPM). This model is to find a bi-dimensional representation of textual documents for the problem of text categorization. The main idea is to consider ...
  • Wai, Khin Myo; San, Khin Cho (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Document clustering is text processing that groups documents with similar concept. Clustering is defined as a process of partitioning a set of objects (patterns) into a set disjoined group (clusters). Its goal is to reduce ...
  • Soe, Nilar (University of Computer Studies, Yangon, 2022-06)
    Opinion Mining becomes popular in seeking the information on online review or feedback system. This technique can be usually used in recommender system that supposes the customers for making trust upon the products ...
  • Aung, May Thazin Myint; Myint, Mu Mu (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    A general family of auction mechanisms that admit multiple buyers and sellers determine market-clearing prices. This system analyzes the economic incentives facing participants in such auctions, demonstrating that, ...
  • Phyo, Yin Yin; Win, Thidar (University of Computer Studies, Yangon, 2021-06)
    Nowadays, Duplicate Record Detection is a multiple record search process that represents the same physical entity in a dataset. It is also known as the record linkage (or) entity matching. The databases contain a very ...
  • Phyo, Yin Yin; Win, Thidar (University of Computer Studies, Yangon, 2021-01)
    Duplicate Record Detection is a multiple record search process that represents the same physical entity in a dataset. It is also known as the record linkage (or) entity matching [1]. The databases contain very large ...
  • Thaung, Su Mon; Htike, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Often, in the real world, entities have two or more representations in databases. Duplicate records do not share a common key and / or they contain errors that make duplicate matching a difficult task. A major problem that ...
  • Myint, Khine Pa Pa; Tun, Khin Mo Mo (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The Program Evaluation and Review Technique (PERT) has been widely used as a tool for project management. In PERT analysis, the activity time distribution is assumed to be a beta distribution, and the mean and variance ...
  • Ei, Nyein Nyein (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    The labeling scheme is used to label the nodes of an XML tree. Based on the labeling scheme, XML queries can be processed without accessing the original XML document. One more important point for the labeling scheme ...
  • Aung, Su Thet; Kyu, Khin Kyu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents the parallel computing and dynamic load balancing on heterogeneous system architecture, simultaneously analyzing the theoretical parallel Speedup as well as the Speedup experimentally obtained. Load ...
  • Wint, Khin Wah Wah; Aye, Soe Soe (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Dynamic power variation grows dynamically with the development of power management technologies in server and communication equipments. So, dynamic power variations are taking place in data centers and network rooms. ...
  • Khaing, Ei Ei (2019-01)
    Both scientific and business applications today are generating large amount of data, typical applications, produce a lot of data per year. In many cases, data may be produced, or required to be accessed/shared, at ...
  • Khaing, Ei Ei; Khaing (National Journal of Parallel and Soft Computing, 2019-03)
    Many real-time applications need data services in distributed environments. Replication can help distributed real-time database systems meet the stringent time requirements of application transactions. In this system, ...
  • Hman, May Sit; Khaing (National Journal of Parallel and Soft Computing, 2019-03)
    This paper describes replication management policies in distributed file system, and shows a decentralized dynamic replication management mechanism dependent on accessing frequency detecting named FDRM (Frequency ...
  • Hman, May Sit (University of Computer Studies, Yangon, 2019-05)
    The system describes replication management policies in distributed file system, and shows a decentralized dynamic replication management mechanism dependent on accessing frequency detecting named FDRM (Frequency Detecting ...
  • Thu, May Phyo; Nwe, Khine Moe; Aye, Kyar Nyo (1st International Conference on Advanced Information Technologies (ICAIT), Yangon, 2017-11-01)
    Nowadays, replication technique is widely used in data center storage systems to prevent data loss. Data popularity is a key factor in data replication as popular files are accessed most frequently and then they ...
  • Thu, May Phyo; Nwe, Khine Moe; Aye, Kyar Nyo (1st International Conference on Big Data Analysis and Deep Learning Applications (ICBDL), 2018)
    Nowadays, replication technique is widely used in data center storage systems to prevent data loss. Data popularity is a key factor in data replication as popular files are accessed most frequently and then they ...

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