Interscience Open Access Journals
So many numbers of algorithms have been proposed for the discovery of data from the large database. However, since the number of generated patterns can be large, selecting which patterns to analyze can be nontrivial. There is thus a need for algorithms and tools that can assist in the selection of discovered patterns so that subsequent analysis can be performed in an efficient and, ideally, interactive manner. In this paper, the authors propose a mark-based indexing method to optimize the storage and retrieval of a relative data's from the large database.