Multi-Level Association Rule Mining: A Review
نویسنده
چکیده
Association rule mining is the most popular technique in the area of data mining. The main task of this technique is to find the frequent patterns by using minimum support thresholds decided by the user. The Apriori algorithm is a classical algorithm among association rule mining techniques. This algorithm is inefficient because it scans the database many times. Second, if the database is large, it takes too much time to scan the database. For many cases, it is difficult to discover association rules among the objects at low levels of abstraction. Association rules among various item sets of databases can be found at various levels of abstraction. Apriori algorithm does not mine the data on multiple levels of abstraction. Many algorithms in literature discussed this problem. This paper presents the survey on multi-level association rules and mining algorithms.
منابع مشابه
A Novel Method for Selecting the Supplier Based on Association Rule Mining
One of important problems in supply chains management is supplier selection. In a company, there are massive data from various departments so that extracting knowledge from the company’s data is too complicated. Many researchers have solved this problem by some methods like fuzzy set theory, goal programming, multi objective programming, the liner programming, mixed integer programming, analyti...
متن کاملNumeric Multi-Objective Rule Mining Using Simulated Annealing Algorithm
Abstract as a single objective one. Measures like support, confidence and other interestingness criteria which are used for evaluating a rule, can be thought of as different objectives of association rule mining problem. Support count is the number of records, which satisfies all the conditions that exist in the rule. This objective represents the accuracy of the rules extracted from the da...
متن کاملMulti-Level Mining and Visualization of Informative Association Rules
Recently, there has been an increasing interest in applying association rule mining on data warehouses to identify trends and patterns that exist in the historical data present in large data warehouses. These warehouses have a complex underlying multidimensional structure and the application of traditional rule mining algorithms becomes hard. In this paper, we review and critically evaluate the...
متن کاملAssociation Rule Hiding for Data Mining
The best ebooks about Association Rule Hiding For Data Mining that you can get for free here by download this Association Rule Hiding For Data Mining and save to your desktop. This ebooks is under topic such as association rule hiding for data mining springer association rule hiding for data mining advances in association rule hiding knowledge and data engineering an efficient association rule ...
متن کاملSensitive Itemset Hiding in Multi-level Association Rule Mining
-Enormous numbers of intelligent data mining techniques are in usage to discover hidden patterns. Especially Association rule mining has a high impact on business improvement. However mining association rules at multiplelevel may lead to discovery of more specific and concrete knowledge from data. Privacy is needed in order to withstand the business competence. Now-a-days privacy preserving dat...
متن کامل