A Survey: On Various Incremental Association Rule Mining Approaches
| Author(s) | : | Darshak I. Sojitra, Dr. K. M. Patel |
| Institution | : | Computer Engineering, RK. University |
| Published In | : | Vol. 2, Issue 1 — January 2015 |
| Page No. | : | 273-276 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Data mining has been pervasively used for extracting business intelligence to support business decisionmaking processes. One of the most fundamental and important tasks of data mining is the mining of frequent patterns. Inreal life, new transactions are continuously added to the database as time advances. This result in; periodic change incorrelations and frequent patterns present in database. Incremental Association Rule mining is used to handle thissituation. We could use the previous analysis to incrementally mine the frequent itemset from the updated database, themining process would become more efficient and cost of mining process would be minimized. A survey is done on thedifferent 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.
Darshak I. Sojitra, Dr. K. M. Patel, “A Survey: On Various Incremental Association Rule Mining Approaches”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 1, pp. 273-276, January 2015.
