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  • Feature Selection and Map Reduce-based Neural Network Classification for Big Data 
    Shine, Chit Thu; Nyunt, Thi Thi Soe (University of Computer Studies, Yangon, 2019-03)
    Nowadays, a large amount of digital data is generated from everywhere, every second of the day. One of the challenges is the volume of generated data with high dimensionality. Most of traditional machine learning ...
  • Feature Selection and MapReduce Based Neural Network Classification for Big Data 
    Shine, Chit Thu (University of Computer Studies, Yangon, 2018-12)
    Nowadays, a large amount of digital data is generated from everywhere, every second of the day. One of the challenges is the volume of generated data with high dimensionality. Most of traditional machine learning algorithms ...
  • Feature Selection for Anomaly-Based Intrusion Detection System Using Information Gain and Mutual Correlation 
    Hlaing, Thuzar; Khine, May Aye (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    To avoid high computational costs in identifying intrusions by IDSs, the size of a dataset needs to be reduced. Feature selection is considered a problem of global combinatorial optimization in machine learning, which ...
  • Feature Selection for Classification of Kidney-Renal Failure 
    Htun, Phyu Phyu; Htun, Moe Sanda (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Several recent machines learning publication demonstrates the utility of using feature selection algorithm in supervised learning tasks. Among these, sequential feature selection algorithms are receiving attention .In the ...
  • Feature Selection For Medical Diagnosis Of Fever 
    Min, War War (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The system based on feature selection methods of artificial intelligence (AI). Artificial Intelligence becomes the major subject. Machine learning technology is one of the branches of the AI. The human brain provides ...
  • Feature Selection for Network Intrusion Detection System Using Mutual Correlation 
    Hlaing, Thuzar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    A large and growing number of web pages display contextual knowledge based on keywords automatically extracted from the text of the page and this is a substantial source of revenue supporting the web today. In addition, ...
  • Feature Selection for Rule-Based Classification of Fish Types Using Information Gain 
    Wai, Yadanar; Aye, Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Classification is a process of finding the common properties among various features and classifying them into classes.The feature selection process is very important which selects a subset of relevant features, so that ...
  • Feature Selection in Hybrid Intrusion Detection System 
    Myint, Khin Khattar; Kham, Nang Saing Moon (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    With the enormous growth of computer networks, network security is gaining increasing importance. Therefore, the role of Intrusion Detection Systems (IDSs) is becoming more important. There are many techniques ...
  • Feature Selection of Android Malware Detection and Analysis 
    Hein, Chit La Pyae Myo; Myo, Khin Mar (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Mobile malware performs malicious activities like stealing private information, sending message SMS, reading contacts can harm by exploiting data. Malware spreads around the world infects not only ends users applications ...
  • Feature-Based Opinion Mining Using Ontological Resources 
    Nyaung, Dim En (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    One of the important types of information on the Web is the opinions expressed in the user generated content, e.g., customer reviews of products, forum posts, and blogs. Customer reviews of products are focused in this ...
  • Feature-based Ranking of Opinion Mining System from Customer Reviews 
    Thein, Thin Lai Lai; Nyaung, Dim En (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Nowadays, online customer reviews become a significant informative resource due to the rapid development of web. In a webpage, the reviews are written in natural language and are unstructuredfree- texts scheme. To ...
  • Finding Association Rules from Sales Data with Apriori Algorithm 
    Thein, Shwe Sin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The association rule mining is one of the primary sub-areas in the field of data mining . This type of mining ,the association rule searches for interesting relation among item in a given data set , has been used in numerous ...
  • Finding Frequent Itemsets of Healthy Shop Products Using APRIORI Algorithm 
    Khaing, Ngwe Zin; Sandar, Khin; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining in an area in the intersection of machine learning statistics, and database is to use searching for relationships and global pattern that exits, but is hidden in large database. The discovery of interesting ...
  • Finding Minimum Spanning Tree 
    Htun, Sai Zaw Moe (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    This paper studies the Minimum Spanning Tree Methods. A graph is a collection of nodes and edges, but has no rules dictating the connection among the nodes. All trees are graphs. A tree is a special case of graph in ...
  • Finding Possible Transit-Routes in Hypergraph Yangon Bus Network 
    Hlaing, Wai Mar (University of Computer Studies, Yangon, 2020-12)
    Finding different possible ways in Public Bus Transportation System are essential for users. Most systems implement to search one shortest route for advising the user. Sometimes, the shortest route is not the best for ...
  • Finding region of interest and automatic cropping from Palm leaf manuscripts by using one-dimensional segmentation 
    Soe, Nwe Nwe; Htay, Win (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    This paper offers finding the region of interest and automatic cropping from palm leaf manuscripts developed by using one-dimensional segmentation. This system can be used to provide for enhancing palm leaf manuscripts ...
  • Finding Shortest Path By Using A* and Dijkstra Algorithm 
    Oo, Aye Thandar; Khin, Mie Mie (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper is intended to present optimal route finding system for road network application. It is used to operate in complicated mapping situations and new unknown environments. This technique can be implemented to find ...
  • Finding Shortest Path TCP Routing by Modified Dijkstra’s Algorithm 
    Win, Zin Me Me; Maw, Tin Win (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    With the significant increment of today’s network, there is a decrease in the efficiency of the network. The performance and reliability of the Internet depend, in large part, on the operation of the routing protocols. ...
  • Finding Shortest Path Using Floyd Warshall’s Algorithm 
    Thu, Hnin Pwint; Aung, Khin Sanda (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, the transportation becomes a vital role in developing countries so people need to know the shortest ways. Therefore, this system will be developed intending to reduce the transportation time by applying one ...
  • Finding the shortest smooth path in variable size using improved A* algorithm on grid-based receptor model 
    Htun, Nyi Nyi (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    This paper presents a method based on receptor model for finding the shortest smooth path in variable size with safety margin, where clothoid curvature is used for smoothing path. The method modifies the results of grid-based ...

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