کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
379348 659292 2008 27 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A tree-projection-based algorithm for multi-label recurrent-item associative-classification rule generation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A tree-projection-based algorithm for multi-label recurrent-item associative-classification rule generation
چکیده انگلیسی

Associative-classification is a promising classification method based on association-rule mining. Significant amount of work has already been dedicated to the process of building a classifier based on association rules. However, relatively small amount of research has been performed in association-rule mining from multi-label data. In such data each example can belong, and thus should be classified, to more than one class. This paper aims at the most demanding, with respect to computational cost, part in associative-classification, which is efficient generation of association rules. This task can be achieved using different frequent pattern mining methods. In this paper, we propose a new method that is based on the state-of-the-art tree-projection-based frequent pattern mining algorithm. This algorithm is modified to improve its efficiency and extended to accommodate the multi-label recurrent-item associative-classification rule generation. The proposed algorithm is tested and compared with A priori-based associative-classification rule generator on two large datasets.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Data & Knowledge Engineering - Volume 64, Issue 1, January 2008, Pages 171–197
نویسندگان
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