期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：1
页码：649-652
语种：English
出版社：Ayushmaan Technologies
摘要：Data mining is the extraction of hidden predictive informationfrom large database. Due to rapid application of computer andelectronic devices and tremendous growth in computing powerand storage capacity, there is explosive growth in data collection.Data mining was done primarily on numerical set of data, nowdays as large multimedia datasets such as text, audio , video,image and combination of several types are becoming , whichis almost unstructured or semi structured data by nature, whichmakes it diffcult to extract the information without powerful tools.Association is a powerful data analysis technique that appearsfrequently in data mining literature. The main advantages ofassociation are simplicity, intuitiveness and freedom from modelbest assumption. This survey paper aims at giving an overview tosome of the previous researches done in this topic, evaluating thecurrent status of the feld and envisioning possible future trendsin this area.
