AN EFFICIENT APPROACH USING RULE INDUCTION AND ASSOCIATION RULE MINING ALGORITHMS IN DATA MINING
نویسندگان
چکیده
منابع مشابه
Data sanitization in association rule mining based on impact factor
Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...
متن کاملAn Efficient Approach for Association Rule Mining
A great research work has been done in last decade in association rules mining (ARM) algorithms . Therefore, various algorithms were proposed to discover frequent item sets and then mine association rules. Apriori algorithm is the most frequently used algorithm for generating association rules. Apriori algorithm has some abuses, such as too many scans of the database, large load of system’s I/O...
متن کاملDynamic Association Rule Mining using Genetic Algorithms
A large volume of transaction data is generated everyday in a number of applications. These dynamic data sets have immense potential for reflecting changes in customer behaviour patterns. One of the strategies of data mining is association rule discovery which correlates the occurrence of certain attributes in the database leading to the identification of large data itemsets. This chapter seeks...
متن کاملGeneralized Association Rule Mining Using Genetic Algorithms
We formulate a general Association rule mining model for extracting useful information from very large databases. An interactive Association rule mining system is designed using a combination of genetic algorithms and a modified a-priori based algorithm. The association rule mining problem is modeled as a multi-objective combinatorial problem which is solved using genetic algorithms. The combin...
متن کاملEfficient Association Rule Mining using Hybrid Techniques
As the information is increasing day by day, there is abundance of data but it is not very easy to draw the accurate or required knowledge. Improved and efficient mining techniques are needed to acquire the useful knowledge. In this paper, an algorithm is proposed that is based on count and record filtering techniques. Count based method is used for pruning of candidate itemset and record filte...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Graduate Research in Engineering and Technology
سال: 2013
ISSN: 2320-6632
DOI: 10.47893/gret.2013.1021