• Association rule mining in cooperative research 

    Zhang, Ya (University of Missouri--Columbia, 2009)
    This study applies the data mining methods in economics research. Association rule mining and clustering techniques are used in the cooperative (United Producers, Inc) survey study, in order to find interesting patterns ...
  • Content extraction, analysis, and retrieval for plant visual traits studies 

    Hao, Dayang (University of Missouri--Columbia, 2008)
    In recent years, automatic content extraction, analysis and retrieval for plant visual trait studies play a more important role than ever before, because traditional manual processing suffers two major issues: excessive ...
  • Data mining extension for economics 

    Sun, Wenyi (University of Missouri--Columbia, 2006)
    This research extends the fuzzy association rule mining technique capable of processing quantitative data and implements it to study the relationships among state social, political context, entrepreneurial activities, and ...
  • Mining progressive user behavior for e-commerce using virtual reality technique 

    Chen, Ming-Chang (University of Missouri--Columbia, 2007)
    In the past decade, the virtual reality (VR) technique has been becoming a popular marketing tool on e-commerce websites, where the consumers are allowed to interact with the products and have a vivid shopping experience ...
  • A new adaptive framework for collaborative filtering prediction 

    Almosallam, Ibrahim Ahmad (University of Missouri--Columbia, 2008)
    Collaborative filtering is one of the most successful techniques for recommendation systems and has been used in many commercial services provided by major companies including Amazon, TiVo and Netflix. In this project we ...
  • Temporal mining framework for risk reduction and early detection of chronic diseases 

    Paladugu, Sowjanya, 1984- (University of Missouri--Columbia, 2010)
    Chronic diseases significantly affect the quality of life of over 25 million Americans and are among the most common health problems. Due to the complexity of these diseases, it is difficult for clinicians to analyze trends ...