A Survey: On Various Incremental Association Rule Mining Approaches
Keywords:
- Data mining, Frequent Itemset, Incremental Association Rule Mining, and Promising frequent itemset.Abstract
Data mining has been pervasively used for extracting business intelligence to support business decision
making processes. One of the most fundamental and important tasks of data mining is the mining of frequent patterns. In
real life, new transactions are continuously added to the database as time advances. This result in; periodic change in
correlations and frequent patterns present in database. Incremental Association Rule mining is used to handle this
situation. We could use the previous analysis to incrementally mine the frequent itemset from the updated database, the
mining process would become more efficient and cost of mining process would be minimized. A survey is done on the
different methods of IARM. Different approaches were defined and advantages and disadvantages of them are discussed.
Also find out various issues on incremental association rule mining.
