Titlebook: Advanced Data Mining and Applications; 5th International Co Ronghuai Huang,Qiang Yang,Xue Li Conference proceedings 2009 Springer-Verlag Be

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Das Statistische Amt der Stadt Berlin, its value for resource sharing and navigation. Tag clustering could help alleviate these problems by gathering relevant tags. In this paper, we introduce a link-based method to measure the relevance between tags based on random walk on graphs. We also propose a new clustering method which could add

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Das Statistische Amt der Stadt Berlin,ine the structure and evolution of ANC over the past twenty years by using the real aviation data in the year of 1984, 1993 and 2006. The main contributions can be summarized as three-fold: ., we analyze ANC by using the complex network analysis method and find that ANC is a typical small world netw

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https://doi.org/10.1007/978-3-662-02038-8s class contrast functions. As Gene Expression Programming (GEP) can discover essential relations from data and express them mathematically, it is desirable to apply GEP to mining such class contrast functions from data. The main contributions of this paper include: (1) proposing a new data mining t

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https://doi.org/10.1007/978-3-662-02038-8ace, called a map. This map is generally the subject of a clustering analysis step which aims to partition the referents vectors (map neurons) in compact and well-separated groups. In this paper, we consider the problem of clustering self-organizing map using a modified graph minimal coloring algori

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