Sequential Rule Mining in M-Learning Domain
نویسندگان
چکیده
منابع مشابه
Sequential Rule Mining in M-Learning Domain
Use of Sequential Rule mining is becoming an important tool in m-learning domain to convert the data into information. It is commonly used in a wide series of profiling practices, such as marketing, fraud detection and scientific discovery. Sequential Rule mining is the specialized technique using which we can extract some patterns from given data. These rules can be used to uncover patterns in...
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Sequential rule mining is an important data mining task with wide applications. The current state-of-the-art algorithm (RuleGrowth) for this task relies on a pattern-growth approach to discover sequential rules. A drawback of this approach is that it repeatedly performs a costly database projection operation, which deteriorates performance for datasets containing dense or long sequences. In thi...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016907873