UCSY's Research Repository

Browsing Sixth Local Conference on Parallel and Soft Computing by Title

Browsing Sixth Local Conference on Parallel and Soft Computing by Title

Sort by: Order: Results:

  • Classifying Textual Documents Using Two Dimensional Probabilistic Model 
    Than, Wai Me Me; Kham, Nang Saing Moon (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    This paper presents the probabilistic model named Twodimensional Probabilistic Model (2DPM). In this model, terms are seen as disjoin events, and terms and categories are realeated to each other. Since the documents are ...
  • Classifying the Fields of Subjects Using Case-Based Reasoning 
    Wai, Hnin Yu; Than, Khin Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today text classification is a necessity due the very large amount of text documents that we have to deal with daily. Text classification is a task of assigning a text document into classes. In this thesis, the system will ...
  • Cluster Based Data Storage Management System Using Hadoop Distributed File System 
    Kyaw, Myat (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data storage is one of the important resources in cloud computing. There is a need to manage the data storage. This system is a cluster based data storage file system using Hadoop Distributed File System with the low cost ...
  • Clustering with Expectation Maximization in Web Usage Mining System 
    Than, Lei Mon; Tun, Zaw (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Web usage mining algorithms have been widely utilized for modeling user web navigation behaviour. This system introduces a model for mining of user’s navigation pattern. The model makes user model navigation pattern. The ...
  • Comparative Study of C4.5 and Boosting using Decision Tree Learning Algorithm 
    Tun, Thinzar; Win, Chit Nilar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data Mining aims to discover novel, interesting, and useful knowledge and patterns from databases. Classification is a data mining technique which addresses the problem of constructing a predication model for a ...
  • Comparative Study of Decision Tree Algorithms: ID3 and CART 
    Thu, Su Myat; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification of data objcts based on a predefined knowledge of the objects is a data mining and knowledge management techniques used grouping similar data objects together. It can be defined as supervised learning ...
  • Comparison of Boosted C5 over ID3 and C4.5 Abdominal Pain Problem 
    Aye, Hnin Nwe; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification can be used as in the form of data analysis that can be used to extract models describing the important data classes. This aim of this paper is to exmaine the performance of decision tree algorithms. ...
  • Crops Allocation System for Agriculture Sector by using Integer Linear Programming 
    Aung, Yunn Mee Mee (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today many business and factory want to get maximum profit for their products, so they use many optimum resource allocation methods for decision variables or slack variables. (E .g – By using Simplex method, Big –M method, ...
  • Data Availability in Distributed Patients’ Record System using Virtual Primary Copy 
    Myint, Thida; Htoon, Ei Chaw; Maw, Aung Htein (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Digitization and networked computing in the healthcare sector have resulted in electronic patient records that are stored, managed and shared among different healthcare providers. Replication process enables the data ...
  • Data Clustering using Ant Clustering Algorithm (ACA) 
    Htwe, Lei Yi; Phyu, Aye Lei Lei (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Clustering refers to the grouping of data records, observation or cases into similar objects. A cluster observation or cases similar to one another, and dissimilar to the record in other cluster. Recently, much research ...
  • Data Security System using Steganography with TDES and RSA Cryptographic Algorithms 
    Swe, Myat Myat; Kyu, Khin Kyu (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, technology is moving very fast and is growing demand for the security of data transferring and data collections over the network. To solve the security problems, Cryptography is very useful mechanism not only for ...
  • Decision Support System for Crops Diseases by Using Bayesian Classification 
    Khaing, Myat Mon; Win, Aye Mon (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification of measurements is esential in a diagnosis process in many application domains. Correct classification may be the most critical part of the diagnosis system. This system proposes a decision support system ...
  • Design and Implementation of Fuzzy based Robot Gripper Control System 
    Wai, Nu Htet (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    With the developing of technologies, people invented many kinds of robots such as autonomous robots, industrial robots, and mobile robots. One kind of important part of the robots is industrial robots that usually consist ...
  • Development of Data Warehouse For Computer Universites’ Information 
    Thike, Lynn Lynn; Maw, San San (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data warehousing is a repository of information collected from multiple data sources, stored under a unified schema, and that usually resides at a single site. Nowadays, Universities’ maintaining dta is needed to build ...
  • Development of SaaS (Software as a Service) Framework on Private Network 
    Wutyi, Hnin (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Software as a Service (SaaS) is a way if delivering applications over the internet – as a service. SaaS is a one methodologies of Cloud Computing and also model of Software development. The problem of on-premise software ...
  • Diagnosis of Diabetes by using Naive Bayesian Classifier 
    Tun, Kaythi; Myo, Nyein Nyein (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Bayseian Classifier can predict class membership probabilities, such as the probability that a given sample belongs to a particular class. They are Powerful tools for solving classification problems in a vareity of domains. ...
  • Diagnosis of HIV/AIDS stages and Treatments by using Case-based Reasoning Approach 
    Htun, Zin Zin; Zan, Thu Thu (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    At present, there are many diseases at each case so that it is difficult to get a correct diagnosis. And, consultation with a specialist is one of the solutions in clinical problem, but frequently medical expert opinion ...
  • Diagnosis of Liver Diseases Using Case-Based Reasoning 
    Aung, Thandar; Zaw, Wint Thida (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Case Based Reasoning methodology presents a foundation for a new technology of building intelligent computer-aided diagnoses systems. This technology directly addresses the problems found in Artificial Intelligence (AI) ...
  • Diagnosis of Malarias by Using Reduct Generation Algorithm 
    Latt, Nyi Nyi; Sann, Khin Moe (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining aims to discover novel, interesting and useful knowledge and patterns from databases. Data Classification is the process of building a model from available data called the training data set and classifying ...
  • Diagnosis of TB Disease by Using Decision Tree Induction 
    Naing, Soe Kalayar; Myo, Nyein Nyein (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Decision tree learning algorithm has been successfully using in data minng for training data set. In this system, the main task performed is using inductive methods to the given values of attributes of an unkown object to ...

Search Repository



Browse

My Account