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Zhang, Yi – ProQuest LLC, 2011
Due to the rapid advances in computing and sensing technologies, enormous amounts of data are being generated everyday in various applications. The integration of data mining and data visualization has been widely used to analyze these massive and complex data sets to discover hidden patterns. For both data mining and visualization to be…
Descriptors: Information Technology, Data Processing, Data Analysis, Information Retrieval
Peer reviewed Peer reviewed
Swanson, Rowena W. – Journal of the American Society for Information Science, 1973
An important factor to be considered in applying clustering techniques to information storage and retrieval problems is the use to be made of the resultant groupings. An examination of cluster criteria differentiation as a function of purpose may be fruitful in the exploitation of clustering techniques. (12 references) (Author/KE)
Descriptors: Classification, Cluster Grouping, Information Retrieval, Information Science
Peer reviewed Peer reviewed
Ottaviani, J. S. – Journal of the American Society for Information Science, 1994
Discusses precision and recall in information science and proposes a new model based on fractal geometry for clusters of relevant documents. Search strategies for retrieving a group of relevant documents are reviewed; fractal sets and chaotic processes are described; and the new model is explained. (Contains 43 references.) (LRW)
Descriptors: Chaos Theory, Cluster Grouping, Fractals, Information Retrieval