CATLIP: A Novel Knowledge Discovery Technology

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Provided by: Binary Information Press
Topic: Data Management
Format: PDF
Today, it is much more frequent to mine complicated data in the field of data mining and the main methods include the practice experience and technology of no-structure data mining. Based on the flexible practicability and broad appliance of graph theory and technology, the research of graph-based data mining has presently been becoming an important direction in this domain. In this paper, the authors take up with knowledge discovery researching through the technology of correlative graph-based data mining. Combining correlative term graph theory with inductive logic programming technique, they bring forward the concept of the correlative term graph, and study the reasoning of it.
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