A New Viewpoint for Mining Frequent Patterns
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 3
Abstract
According to the traditional viewpoint of Data mining, transactions are accumulated over a long period of time (in years) in order to find out the frequent patterns associated with a given threshold of support, and then they are applied to practice of business as important experience for the next business processes. From the point of view, many algorithms have been proposed to exploit frequent patterns. However, the huge number of transactions accumulated for a long time and having to handle all the transactions at once are still challenges for the existing algorithms. In addition, today, new characteristics of the business market and the regular changes of business database with too large frequency of added-deleted-altered operations are demanding a new algorithm mining frequent patterns to meet the above challenges. This article proposes a new perspective in the field of mining frequent patterns: accumulating frequent patterns along with a mathematical model and algorithms to solve existing challenges.
Authors and Affiliations
Thanh-Trung Nguyen , Phi-Khu Nguyen
Keywords
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- EP ID EP87394
- DOI 10.14569/IJACSA.2013.040326
- Views 72
- Downloads 0
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