Association rule extraction method and system

Data processing: database and file management or data structures – Database design – Database and data structure management

Reexamination Certificate

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Reexamination Certificate

active

07979473

ABSTRACT:
An association rule is extracted by processing a database partitioned into record units in which the same attribute is missing, from a database including missing values. The association rule is extracted from the database including the missing by means for partitioning a database so that a database including a missing analysis object becomes record blocks in which the same attribute is missing, and means for estimating an upper threshold of a support value in the entire database from local support counts in partitioned databases and thereby limiting records for which the support count is counted.

REFERENCES:
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Arnaud Ragel et al., “Treatment of Missing Values for Association Rules”, in proceedings of Pacific-Asia conference on Knowledge discovery and Data Mining, 1998.
“Performance Evaluations of Load Balancing Algorithms for Mining Generalized Association Rules” by Takahiko Shintani, et al. Jul. 1999.
“Mining Association Rules with Classificatin Hierarchies on a Relational Database Management System” by T. Saeki, et al. Jul. 1998.
“Ascending Frequency Ordered Prefix-tree: Efficient Mining of Frequent Patterns” by Guimei Liu, et al. 2003.
“Treatment of Missing Values for Association Rules” by Arnaud Ragel, et al.

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