Given a huge database, we address the problem of finding association rules for numeric attributes, such as (Balance # I ) O (CardLoan= yes), which implies that bank customers whose balances fall in a range I are likely to use card loan with a probability greater than p. The above rule is interesting
Novel measurement for mining effective association rules
β Scribed by Jin-Mao Wei; Wei-Guo Yi; Ming-Yang Wang
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 138 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0950-7051
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Due to the increasing use of very large databases and data warehouses, mining useful information and helpful knowledge from transactions is evolving into an important research area. Most conventional data-mining algorithms identify the relationships among transactions using binary values and ΓΏnd rul
AbstraΒ£t--Mining association rules from databases has attracted great interest because of its potentially very practical applications. Given a database, the problem of interest is how to mine association rules (which could describe patterns of consumers' behaviors) in an efficient and effective way.