Conferences: Recent submissions

  • Capretz, Luiz Fernando (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Software is a word with a fuzzy perception. People who talk about software may be thinking about the structure of a program, the functionality of an application system, the look and feel of an interface or the overall user ...
  • Win, Aye Thida (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Machine Translation (MT), one of the main problems to handle is word reordering. Myanmar Language and English language are linguistically different language pairs. Myanmar language is a verb final language and ...
  • Zin, Thet Thet; Soe, Khin Mar; Thein, Ni Lar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    In statistical machine translation (SMT), the currently best performing systems are based in some way on phrases or word groups. In this paper, phrase-based translation system is described. Translation model and ...
  • 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 ...
  • Htein, Aung Thet (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Data mining is process of pattern extraction from a large collection of datasets.Main goal of data mining is to discover the frequent itemsets(patterns).Sequential pattern mining is an important data mining problem that ...
  • 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 ...
  • Yan, Phyo Wai; Thida, Aye (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Clustering algorithms are data attractive for the last class identification in spatial databases. This system presents the new clustering algorithm DBSCAN (Density-Based Spatial Clustering of Applications with Noise). ...
  • San, Pan Ei; Aye, Nilar (Thirteenth International Conference On Computer Applications (ICCA 2015), 2015-02-05)
    In this paper we describe the new classification algorithm for web page classification that is ant colony optimization algorithm. The algorithm’s aim is to solve for discrete problem and discreteness of text documents’ ...
  • Thaw, Mie Mie; Naing, Thinn (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Mobile Ad-hoc network is an autonomous system of mobile wireless nodes connected dynamically without any preexisting infrastructure. Since the nodes are mobile, the network topology changes rapidly and unpredictably ...
  • Min, Ei Phyo; Thein, Yadana (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents the development of English Handwritten character recognition system, which uses local and global features of English characters by applying the concept of feature feeding. After each character is ...
  • Zin, Khine Khine; Thein, Ni Lar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Part-of-Speech (POS) Tagging is the process of assigning the words with their categories that best suits the definition of the word as well as the context of the sentence in which it is used. There are different approaches ...
  • Kyu, Zin Mar; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    XML has become the important standard for data denotation and exchange in the web. One of the most popular used of XML is as a data storage facility. The initial purpose is to store XML data into relational database without ...
  • Aung, Win Thanda; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    To classify Web objects into predefined semantic structure is called the Web Page classification. One of the most essential technique for Web Mining is the automatic web page classification given that the web is a huge ...
  • Soe, Kyi; Sein, Myint Myint (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Surface reconstruction is needed for almost all modeling and visualization applications, but unfortunately 3D data from a passive vision system are often insufficient for a traditional surface reconstruction technique ...
  • Aung, Nwe Ni; Naing, Thinn Thu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Ontologies are set to play a vital role in the "Semantic Web", extending syntactic interoperability to semantic interoperability by providing a source of shared and precisely defined terms. An ontology is a formal ...
  • Htwe, Thanda; Kham, Nang Saing Moon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Most of the Web page typically contains clutter unlike conventional data or text. It usually has such noise data as navigation panels, copyright and privacy notices, and advertisement. These noise data can seriously ...
  • Khaing, Cho Cho; Khine, May Aye (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recently, many digital libraries have been constructed and published. Scientific papers often conclude with a section that lists referenced works in the form of a reference list or bibliography. This form of acknowledgment ...
  • Hlaing, Aye Nandar; Naing, Thinn (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Bayesian networks, or belief networks, show conditional probability and causality relationships between variables. Weather forecasting is important for various areas. In this paper, weather forecasting system is presented ...
  • 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 ...
  • War, Nu (2009-12-30)
    At the core of the presented system is a highly robust fingerprint extraction method which enables searching a large fingerprint database with only limited computing resources. Requirements for such systems include ...

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