Browsing by Author "He, Dan"

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Browsing by Author "He, Dan"

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  • He, Dan; Zhu, Xingquan; Wu, Xindong (IEEE Computer Society, 2009)
    In this paper, we define a new research problem for mining approximate repeating patterns (ARP) with gap constraints, where the appearance of a pattern is subject to an approximate matching, which is very common in biological ...
  • Zhu, Xingquan; Li, Bin; Wu, Xindong; He, Dan; Zhang, Chengqi (Elsevier Science Bv, 2011)
    The purpose of data mining from distributed information systems is usually threefold: (1) identifying locally significant patterns in individual databases; (2) discovering emerging significant patterns after unifying ...
  • Zhu, Xingquan; Zhang, Peng; Wu, Xindong; He, Dan; Zhang, Chengqi; Shi, Yong (IEEE Computer Society, 2008)
    We identify a new research problem on cleansing noisy data streams which contain incorrectly labeled training examples. The objective is to accurately identify and remove mislabeled data, such that the prediction models ...
  • He, Dan; Zhu, Xingquan; Wu, Xindong (IEEE Computer Society, 2009)
    In this paper, we propose a method to derive and model data uncertainty from imprecise data. We view data imprecision and errors as the outcome of the precise data exposed to some uncertain channels, and our scheme is to ...
  • He, Dan; Zhu, Xingquan; Stott Parker, D (IEEE, 2011)
    Recent years have witnessed a great deal of attention in tracking news memes over the web, modeling shifts in the ebb and flow of their popularity. One of the most important features of news memes is that they seldom occur ...
  • He, Dan; Zhu, Xingquan; Wu, Xindong (Wiley-Blackwell, 2011)
    The rapid increase of available DNA, protein, and other biological sequences has made the problem of discovering meaningful patterns from sequences an important task for Bioinformatics research. Among all types of patterns ...