Now showing items 1-5 of 5

    • DOM Structure Based Web Pattern Mining 

      Pillarikuppam, Naresh (North Dakota State University, 2011)
      A rapid expansion in the Web has motivated several studies to understand and recognize the implementation structure underlying the interface. Though the presentation of the Web pages looks different, those Web pages may ...
    • Frequent Substring-Based Sequence Classification Using Reduced Alphabets 

      Chitraranjan, Charith Devinda (North Dakota State University, 2011)
      In recent years, various disciplines have generated large quantities of sequence data which has necessitated automated techniques for classifying these sequences into different categories of interest. Especially with the ...
    • Mining Connected Frequent Boolean Expressions 

      Kolte, Deepak (North Dakota State University, 2017)
      In this paper, we are finding Connected Frequent Boolean Expressions from cancer dataset [14] and protein protein interaction network [14] to discover group of dysregulated genes. Frequent Itemset Mining is a process of ...
    • Mining Frequent Coherent Patterns from Weighted Graphs 

      Ahmed, Syed Kutub Uddin (North Dakota State University, 2014)
      Current research on network analysis; such as community detection, pattern mining and many other graph mining application mostly focus on large social or biological networks. Such experiments may find interesting patterns ...
    • Vector-Item Pattern Mining Algorithms and their Applications 

      Wu, Jianfei (North Dakota State University, 2011)
      Advances in storage technology have long been driving the need for new data mining techniques. Not only are typical data sets becoming larger, but the diversity of available attributes is increasing in many problem domains. ...