Synchronous Pattern Mining From Web Log Data Using Association and Correlation Rules

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Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Topic: Data Management
Format: PDF
In this paper, the authors introduce the concept of synchronous patterns, association and correlation rule, and search how they can be mined efficiently. The title of synchronous pattern mining is indeed rich. In this paper is dedicated to methods of synchronous item set mining. They can find synchronous item sets from large amount of web log data using association and correlation rules, and the web log data are either transactional or relational. They can mine association and correlation rules in multilevel and multidimensional space. The association and correlation rules are the most interesting. The techniques learned in this paper may also be extended for more advanced forms of synchronous pattern mining.
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