Integration of Bayesian Theory and Association Rule Mining in Predicting User’s Browsing Activities – Survey Paper
نویسندگان
چکیده
منابع مشابه
Association Rule Mining: A Survey
Data mining [Chen et al. 1996] is the process of extracting interesting (non-trivial, implicit, previously unknown and potentially useful) information or patterns from large information repositories such as: relational database, data warehouses, XML repository, etc. Also data mining is known as one of the core processes of Knowledge Discovery in Database (KDD). Many people take data mining as a...
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Association Rule Mining (ARM) has been the area of interest for many researchers for a long time and continues to be the same. It is one of the important tasks of data mining. It aims at discovering relationships among various items in the database. The objective of this paper is to present a review on the basic concepts of ARM technique along with the recent related work that has been done in ...
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Higher education has changed a lot in the last decade. The use of various innovative techniques and technologies, especially ICT in teaching learning process is increasing day by day. Number of information systems has been developed and successfully implemented to support educational processes. These systems typically capture almost every data regarding a student, right from their enrollment in...
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Association rule mining is a computationally expensive task. Despite the huge processing cost, it is getting tremendous popularity due to the usefulness of the association rules. Several efficient algorithms can be found in the literature that cope with this popular task. This paper provides a comprehensive survey on the state-of-art algorithms for association rule mining, specially when the da...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications Technology and Research
سال: 2015
ISSN: 2319-8656
DOI: 10.7753/ijcatr0410.1005