Frequent pattern mining is a process of mining data as a set of itemsets or patterns from a transactional database which support the minimum support threshold. A frequent pattern is a pattern (ie. a set of items
One of the fundamental data mining tasks, for both static and streaming data, is frequent pattern mining. The goal of pattern mining is to identity frequently occurring patterns and structures. Such patterns may indicate scientific phenomena, economic or social trends, or even security threats. ...
Frequent Pattern Mining over data streamsFrequent pattern mining is one of the important tasks used in data mining domain. Frequent pattern mining is used to find interesting patterns from databases, such as association rules, correlations rules, sequence rules, classifier rules, and cluster rules. ...
One of them is to use frequent pattern discovery methodsin Web log data. Discovering hidden information from Web log data is called Web usagemining. The aim of discovering frequent patterns in Web log data is to obtain informationabout the navigational behavior of the users. This can be used ...
Frequent pattern mining is an essential data mining task, with a goal of discovering knowledge in the form of repeated patterns. Many efficient pattern mining algorithms have been discovered in the last two decades, yet most do not scale to the type of data we are presented with today, the ...
An in-depth coverage of methods for mining many kinds of patterns is included elaborating on: multilevel patterns, multidimensional patterns, patterns in continuous data, rare patterns, negative patterns, constrained frequent patterns, frequent patterns in high-dimensional data, colossal patterns, and ...
The mining of insightful patterns has been successfully applied in many real-world applications. However, most of these pattern mining algorithms [2,16,18] mainly measure the interestingness of patterns based on the co-occurrence frequencies of patterns. Other implicit factors in the data, such as...
Frequent patternsVideo mining is used to discover and describe interesting patterns in video data, which has become one of the core problem areas of the data mining research community. Compared to the mining of other types of data (e.g., text), video mining is still in its infancy, and ...
Mining Sequential Patterns from Multidimensional Sequence Data The problem addressed in This work is to discover the frequently occurred sequential patterns from databases. Although much work has been devoted to this s... CC Yu,YL Chen - 《IEEE Transactions on Knowledge & Data Engineering》 被引量...
While the frequent pattern mining literature offers a lot of approaches to handle and extract interesting patterns in data, little effort has been dedicated to relevantly handling such contextual information during the mining process. In this paper we propose a generic formulation of the contextual ...