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Browsing by Subject "Data mining"

Browsing by Subject "Data mining"

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  • Mattellini, Jonathan (AIT, 2015-05)
    One of the biggest wealth of a firm is its data. But most of the time, this data is scattered, unstructured and heterogeneous. The question is how to analyze all this data, in reasonable time. Decision makers need to have ...
  • Tatpong Katanyukul
    Clustering is the important preliminary task for data mining. Its result is useful for data reduction and hypothesis extraction from data. The complication of data characteristics can degrade the clustering performance. ...
  • Nawarerk Chalarak (Asian Institute of Technology, 2009-05)
    The purpose of this research is to apply data mining theory to a particular clothing business data and find the relationships between products. These relationships can help the owners improve their business. However, an ...
  • Nguyen Thai Nghe (Asian Institute of Technology, 2006)
    Data mining is considered as the most suited technology in discovering the student behaviors and acted as an automated assistant in helping them get better in study result. When the student information is viewed as material ...
  • Baber, Junaid (Asian Institute of Technology, 2009-05)
    Frequent subpaths in undirected graph was research challenge. This problem comes in many practical applications like traffic congestion, hot support in different path, in chemical formulas and also can be used for Information ...
  • Sarunya Kanjanawattana (Asian Institute of Technology, 2011-08)
    Fraud detection becomes an important task nowadays especially a health insurance. Some developing country such as Thailand, we use human inspection and some heuristic rules to detect fraud on financial statements. That ...
  • Jianli, Ren, Jianli
    Rapid advances in wireless communicati on, micro-electronics, and embedded systems (MEMS) during the past several decades have enabled the new generation of massive-scale distributed sensor networks. The technology ...
  • Tutiyaporn Nitichai (Asian Institute of Technology, 2009-07)
    Naïve bayes is a supervised classification technique which aims for classifying or predicting group to unknown data. It assumes class-feature independence and no conditional dependency between classifying features. Generally, ...
  • Cai Hui (Asian Institute of Technology, 2007)
    Academic advising is always a time-consuming process and this process also highly requires the knowledge of the advisors. This thesis used artificial neural network to identify the factors which impact the course performance ...
  • Chanawut Juntapoln (Asian Institute of Technology, 2011-05)
    Email transaction logs can be used to track the unusual events which might appear among message conversations. The problem is that to monitor every single email is taking a lot of effort especially when the size of email ...
  • Tai, Xin
    Data clustering is regarded as a particular branch of data mining. In this thesis, data clustering refers to the problem of dividing N data points into K groups to minimize the intraà à à à à ­group difference, ...
  • Onanong Nopkhun
    In rapidly thriving barter exchange business, human brokers as business mediators take care of all their members in various ways such as what they will purcha se, what products or services will be provided, and ...

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