However, when mining a large database, the number of patterns discovered can remain large even after adjusting significance thresholds to eliminate spurious patterns. What is needed, then, is an effective measur
Data Mining Graph Theory Graph Theory in Probability Habituation Pattern vision 1 Introduction Mining dense subgraph patterns in a given graph is a problem of growing importance, owing to the increased availability and importance of social networks between people, computer networks such as the ...
Interestingness discovery is a process employed in data mining and knowledge discovery to classify the usefulness of patterns. Advertisements Many different patterns such as customer spending and social trends are often discovered in data mining, but the relevance, utility, or usefulness of said patterns...
Interestingness measures for data mining:A survey A survey of interestingness measures for knowledge discovery Selecting the right interestingness measure for association patterns Selecting the right interestingness measure for association patterns On Subjective Measures of Interestingness in Knowledge Discovery ...
Measuring interestingness in data mining is intended for selecting and ranking patterns according to their potential interest to the user (Geng & Hamilton 2006). Despite studies about the role of the body in cognition, affectivity and emotions, research on interest and interestingness still neglects...
Association rule mining is a widely used data mining approach for discovering patterns and relationships between variables from data [1] and has been used for mining relationships from the GO by a number of research groups [2], [3], [4], [5], [6]. However, most of this research ...
A data mining technique usually generates a large amount of patterns and rules. However, most of these patterns are not interesting from a user`s point of view. Beneficial and interesting rules should be selected among those generated rules. This selection process is what we may call a second...
[1], the selection of interesting patterns becomes a serious problem for the human user;we will call this problem the post-mining rule analysis problem.Thus one of the central problems in the,eld of data mining is the development of good mea-sures of interestingness of discovered patterns....
Recently, some researchers have turned their attention to the idea of mining pattern sets rather than individual association rules as another means to deal with redundancy among rules, and ranking patterns using background knowledge (Jaroszewicz and Simovici 2004; Gallo et al. 2007; De Bie et ...
Based on the Log files,clustering and browsing interest pattern algorithm are adopted in the paper to mine the patterns of users browsing interest. 以Web log文件作为数据源,通过聚类算法以及浏览兴趣模式算法实现对用户日志进行挖掘,得出用户浏览兴趣度模式,实现兴趣模式的表示,并最终提供电子商务网站个性化访...