• DocumentCode
    3425094
  • Title

    Exploratory data mining lead by text mining using a novel high dimensional clustering algorithm

  • Author

    Amarasiri, Rasika ; Ceddia, Jason ; Alahakoon, Damminda

  • Author_Institution
    Sch. of Bus. Syst., Monash Univ., Victoria, Vic., Australia
  • fYear
    2005
  • fDate
    15-17 Dec. 2005
  • Abstract
    Text mining has emerged as a different stream in data mining because of the unstructured nature associated with free text. Many algorithms have been developed to assist in text mining. This paper presents the use of text mining based on a novel high dimensional clustering algorithm that leads to the exploratory data mining on data associated with the text. Experimental results of analyzing a real-world text data set and associated data are also presented.
  • Keywords
    data mining; pattern clustering; text analysis; data mining; high dimensional clustering; text mining; Clustering algorithms; Data analysis; Data mining; Databases; Frequency conversion; Information retrieval; Machine learning algorithms; Organizing; Software algorithms; Text mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications, 2005. Proceedings. Fourth International Conference on
  • Print_ISBN
    0-7695-2495-8
  • Type

    conf

  • DOI
    10.1109/ICMLA.2005.29
  • Filename
    1607461