دانلود مقاله ISI انگلیسی شماره 157206
کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
157206 2017 20 صفحه PDF سفارش دهید 14550 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Forest PA: Constructing a decision forest by penalizing attributes used in previous trees
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 89, 15 December 2017, Pages 389-403

پیش نمایش مقاله
پیش نمایش مقاله

چکیده انگلیسی

In this paper, we propose a new decision forest algorithm that builds a set of highly accurate decision trees by exploiting the strength of all non-class attributes available in a data set, unlike some existing algorithms that use a subset of the non-class attributes. At the same time to promote strong diversity, the proposed algorithm imposes penalties (disadvantageous weights) to those attributes that participated in the latest tree in order to generate the subsequent trees. Besides, some other weight-related concerns are taken into account so that the trees generated by the proposed algorithm remain individually accurate and retain strong diversity. In order to show the worthiness of the proposed algorithm, we carry out experiments on 20 well known data sets that are publicly available from the UCI Machine Learning Repository. The experimental results indicate that the proposed algorithm is effective in generating highly accurate and more balanced decision forests compared to other prominent decision forest algorithms. Accordingly, the proposed algorithm is expected to be very effective in the domain of expert and intelligent systems.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.