文章基本信息

标题：A Survey on Association Rules in Case of Multimedia Data Mining
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作者：Vishwadeepak Singh Baghela ; Dr. S. P Tripathi
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：III
期号：I – Ver 4
出版社：Ayushmaan Technologies
摘要：Data mining is the extraction of hidden predictive information from large database. Due to rapid application of computer and electronic devices and tremendous growth in computing power and storage capacity, there is explosive growth in data collection. Data mining was done primarily on numerical set of data, now days as large multimedia datasets such as text, audio , video, image and combination of several types are becoming , which is almost unstructured or semi structured data by nature, which makes it difficult to extract the information without powerful tools. Association is a powerful data analysis technique that appears frequen tly in data mining literature. The main advantages of association are simplicity, intuitiveness and freedom from model-best assumption. This survey paper aims at giving an overview to some of the previous researches done in this topic, evaluating the current status of the field and envisioning possible future trends in this area
关键词：Multimedia Data Min ing; Associati on Rules; Tex t Mining ; ;Unstructured Data