Efficient incremental method for data mining of a database

摘要

A method for discovering association rules in an electronic database commonly known as data mining. A database is divided into a plurality of sections, and each section is sequentially scanned, the results of the previous scan being taken into consideration in a current scanned partition. Three algorithms are further developed on this basis that deal with incremental mining, mining general temporal association rules, and weighted association rules in a time-variant database.