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Browsing Fifth Local Conference on Parallel and Soft Computing by Issue Date

Browsing Fifth Local Conference on Parallel and Soft Computing by Issue Date

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  • Oo, Myat Noe; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Electronic commerce (e-commerce) has changed the outlook of traditional business trading behavior. E-commerce includes different types of activities related to the online sales of goods and services. In this paper, ...
  • Thet, Aung Ko; Tun, Zaw (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Web is fundamentally a very simple idea. Web server that accept request from web Clients for pieces of information called web objects. When a user accesses a web page, the request typically goes out to the Internet to ...
  • Phyo, Aye Su; Sandar, Khin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper proposes a fingerprint types classification algorithm using Learning Vector Quantization (LVQ) with FingerCode features. This algorithm assigns each fingerprint image to one of the five subclasses, according ...
  • Phyu, Su Lei (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A temporal database is a database with built-in time aspects or a temporal data model and a temporal version of structured query language. More specifically the temporal aspects usually include valid time and transaction ...
  • Moe, Thae Ei; Aye, Zin May (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In this paper, road sign recognition system (RSR) is implemented with radial basis function (RBF) neural network architecture. The system consists of image pre-processing and algorithm of RBF function to recognition that ...
  • Aung, Htet Htet (fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This system forecasts in water level in Pyay river state. Water level is forecasted by using water level is forecasted by using Fuzzy Logic. This paper is to describe the implementation of flood condition system of ...
  • Kyaw, Wa Shwe Lwin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Decision Support System (DSS) are integrated with set of computer tools and that allow decision makers to interact directly with the computers to create information useful in making decisions. DSS helps managers and ...
  • Khine, Phyo Thu Thu; Tun, Khin Nwe Ni (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Digital library (DL) research and development has concentrated primarily on collections and on the services to build and access them. And when the large quantity of Myanmar document is getting archived by the digital ...
  • Ya, Aalay (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A neural network is an artificial representation of human brain that tries to simulate the learning process. The neural network is an array of interconnected processing elements, each of which can accept inputs, process ...
  • Cho, War War; Nwe, Nwe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Frequent pattern mining is one of the active research themes in data mining. It is an important role in all data mining tasks such as clustering, classification, prediction and association analysis. Frequent pattern is the ...
  • Mon, Khaing Zar; Naing, Thinn Thu (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The rapid growth of on-line information has created a surge of interest in tools that are able to extract information from on-line documents. Information extraction (IE) is the process of pulling desired pieces of ...
  • Zin, Khaing May; Nwe, Khine Moe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    With the rapid development particularly in online industry, the amount of the online users is also dramatically increased. Online shopping and online ordering system is very popular nowadays. Therefore, the information ...
  • Tun, Sandar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Frequent itemsets mining leads to the discovery of associations and correlations among items in large transactional or relational data sets. Frequent itemsets mining is market basket analysis. This paper presents to analyzes ...
  • Aye, Thi Dar; Soe, Khin Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Association rule mining is a technique to find useful patterns and associations in transactional databases. The mining of association rules can be mapped into the problem of discovering large (frequent) itemsets where ...
  • Phyu, Poe Ei (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Nowadays, Neural Network technologies are applied in many fields. Neural Networks (NN) rely on the inner structure of available data sets rather than on comprehension of the modeled processes between inputs and outputs. ...
  • Thant, Win Win (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper proposes an approach to annotate function tags for unparsed text. We address the question of whether data-driven function tag assignment method can be applied to Myanmar language. We assign function tags ...
  • Maw, Naw Aye Aye; Htay, Sandar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A number of classification systems have been developed depending on the intended purpose of the system. This system tries to classify peanut leaves diseases.. The images of the peanut leaf are acquired by means of an digital ...
  • Mon, Hsu Myat; Htike, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Web personalization can be defined as the process of customizing the content and structure of a Web site to the specific and individual needs of each user taking advantages of the user’s navigational behavior. Recommender ...
  • Pearl; Aung, Wint Thinzar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The goal of this paper is to classify Import Market data to support the decision makers for Import Market. The main task performed in this system is used Classification and Regression Tree (CART) Algorithm. In this paper, ...
  • Nwe, Nann Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data replication is a key technology in distributed systems that enable higher availability and performance. Data replication consists of maintaining multiple copies of data, called replicas, on separate computers. ...

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