State of Art of Multi Relational Data Mining Approaches: A Rule Mining Algorithm

Provided by: International Journal of Computer Applications
Topic: Big Data
Format: PDF
In this 21st century is completely called as the information science where the large organizations need useful knowledge. The data mining algorithms look for patterns in data. While most existing data mining approaches look for patterns in a single data table, Multi-Relational Data Mining (MRDM) approaches look for patterns that involve multiple tables (relations) from a relational database. The database consists of a collection of tables (a relational database). Records in each table represent parts, and individuals can be reconstructed by joining over the foreign key relations between the tables. To reduce the I/O cost, the data accessed together during extraction phase are to be clustered in the same disk block. This paper represents the index structure, what the authors generally called as the Imine index structure.

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