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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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  • Analysis of Query System for SQL and XQuery 
    Aung, Lwin Moe; Nyunt, Thi Thi Soe (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    SQL is a special-purpose programming language designed for managing data held in a relational database management system. XQuery is a standardized language for combining documents, databases and Web pages. Among many ...
  • Analysis of Rural's People by using Clustering Method 
    Oo, Nang Phyu Hnin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Rural's people development plays an importance role in a country. The analysis of status of social, commercial of Rural's people is very main status. By using this analysis, fill can the requirement space. So, the statuses ...
  • Analysis of Searching Deterministic Shortest Path Algorithms (Depth First Search, Breadth First Search, Uniform Cost Search) 
    Htwe, Khin Mar; Naing, Thinn (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    This paper is intended to implement shortest path way of transportation. To efficiently extract knowledge, Depth First Search (DFS), Breadth First Search (BFS), Uniform Cost Search (UCS) algorithms depend on the efficient ...
  • Analysis of Strong Data By Using Apriori Algorithm 
    Linn, Thu Zar; Aung, Than Htike (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Association rule mining is widely used in business enterprise to analyze for marketing strategies and its good is to find interesting association or correlation relationship among a large set of data items. With massive ...
  • Analysis of User-based and Item-based Prediction Algorithms for Recommender System 
    Wai, Chit Hnin; Soe, Khin Thanda (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Recommender Systems typically use techniques from collaborative filtering which recommend items that users with similar preferences have liked in the past and, also predict new rating by averaging ratings between pairs ...
  • Analysis of Weighted Associative Classifier, Naïve Bayesian and Decision Tree Classifierson Heart Disease 
    Yee, Hnin Lai; Myint, Mu Mu (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The healthcare system collects large amounts of healthcare data which unfortunately, are not mined to discover hidden information for effective decision making. Discovery of hidden patterns and relationships often goes ...
  • Analysis on Efficiency of Apriori and MBAT Algorithms 
    Aung, Yu Nandar; Zaw, Ei Phyu (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Data Mining is a fast developing field of computer science and technology, which are helpful to enable end users for decision making process. One of the most important data mining processes is that of Association Rule ...
  • Analyzing Calendar based Association Rule Using FP-growth Algorithm 
    Phyo, Thazin; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper is presented the mining association rules among items in a large database of sales transactions. The mining of association rules can be mapped into the problem of discovering large itemsets which appear in ...
  • Analyzing Chest Pain Cases Using Forward Chaining System 
    Ko, Su Linn; Aye, Hnin Hnin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A large number of expert systems require the use of forward chaining or data driven inference. Rulebased systems are really only feasible for problems for which any and all knowledge in the problem area can be written ...
  • Analyzing Control Flow for Logic Errors 
    Nwe, Thiri; Hlaing, Swe Zin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Analyzing the program conditional control flow the important technique using in program execution. Software errors are often caused mostly due to the complexity of software, programming errors, time pressure and changing ...
  • Analyzing Customer Buying Habits Using Transaction Data 
    Tun, Hlaing Nwe; Win, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining is the process of digging trough large files and databases to discover useful, non-obvious and often unexpected trends and relationships. Association rules are popular representations in data mining. It finds ...
  • Analyzing Denial-of-service Attacks in KDD CUP 99 Data Set for Intrusion Detection System 
    Khaing, Kyaw Thet; Naing, Thinn (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recently cyber security has emerged as an established discipline for computer systems and infrastructures with a focus on protection of valuable information stored on those systems from adversaries who want to obtain, ...
  • Analyzing Encryption Quality of RC5 and RC6 Block Ciphers for Grey Image Encryption Algorithm 
    Thazin, Nwe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    With the fast progression of information exchange in electronic way, security is becoming more important in information transmission as well as in storage. To protect the confidential data from unauthorized access, several ...
  • Analyzing Stock Market on Small Devices through Web Services 
    Zaw, Su Mon; Hlaing, Swe Zin (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper basically deals with the availability of client programs on mobile devices that can invoke the remote execution of data mining task. By implementing mobile Web Services, remote users are allowed to execute ...
  • Analyzing the Data for Electronic Shop by using OLAP tools 
    Tun, A Me (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data warehousing and online analytical processing (OLAP) are essential facilities for data analysis tasks supporting a user’s decision in a business. Data warehousing approach is to integrate information and heterogeneous ...
  • Analyzing Transaction database using Fast Online Dynamic-Growth (FOLD-growth) algorithm 
    Hlaing, May Me Me; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data mining is the process of analyzing large data sets in order to find patterns. Mining frequent patterns is a fundamental and crucial task in data mining problems. The association rule mining is needed in order to ...
  • An Ant Colony Optimization Algorithm for Solving Traveling Salesman Problem 
    Hlaing, Zar Chi Su Su; Khine, May Aye (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Ant Colony Optimization (ACO) is a class of heuristic search algorithms that have been successfully applied to solving combinational optimization (CO) problems. The traveling salesman problem (TSP) is among the most ...
  • An Ant Colony Optimization Algorithm for Solving Traveling Salesman Problem 
    Hlaing, Zar Chi Su Su; Khine, May Aye (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Ant Colony Optimization (ACO) is a class of heuristic search algorithms that have been successfully applied to solving combinational optimization (CO) problems. The traveling salesman problem (TSP) is among the most ...
  • Anti Network Scanning Honeypot System 
    Min, Aung Chan (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In today computer security field, honeypot technology is rapidly maturing and various types of honeypots are establishing their role of countermeasure as viable and useful in modern network defense system. In this paper, ...
  • Application of A Radial Basis Function Neural Network for Diagnosis of Diabetes Mellitus 
    Win, Kay Thi; Aye, Zin May (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In this paper, an attempt is made to study the applicability of a general purpose, supervised feed forward neural network with one hidden layer, namely; Radial Basic Function (RBF) neural network. It uses relatively smaller ...

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