Tracking recurring concepts from evolving data streams using ensemble method

المؤلفون المشاركون

Zhang, Wei
Sun, Yange
Wang, Zhihai
Yuan, Jidong

المصدر

The International Arab Journal of Information Technology

العدد

المجلد 16، العدد 6 (30 نوفمبر/تشرين الثاني 2019)، ص ص. 1044-1052، 9ص.

الناشر

جامعة الزرقاء

تاريخ النشر

2019-11-30

دولة النشر

الأردن

عدد الصفحات

9

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

Ensemble models are the most widely used methods for classifying evolving data stream.

However, most of the existing data stream ensemble classification algorithms do not consider the issue of recurring concepts, which commonly exist in real-world applications.

Motivated by this challenge, an Ensemble with internal Change Detection (ECD) was proposed to enhance performance by exploring the recurring concepts.

It is done by maintaining a pool of classifiers, which dynamically adds and removes classifiers in response to the change detector.

The algorithm adopts a two window change detection model, which adopts the Jensen-Shannon divergence to measure the distance of the distributions between old and recent data.

When a change is detected, the repository of stored historical concepts is checked for reuse.

Experimental results on both synthetic and real-world data streams demonstrate that the proposed algorithm not only outperforms the state-of-art methods on standard evaluation metrics, but also adapts well in different types of concept drift scenarios especially when concept s reappear.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Sun, Yange& Wang, Zhihai& Yuan, Jidong& Zhang, Wei. 2019. Tracking recurring concepts from evolving data streams using ensemble method. The International Arab Journal of Information Technology،Vol. 16, no. 6, pp.1044-1052.
https://search.emarefa.net/detail/BIM-915131

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Sun, Yange…[et al.]. Tracking recurring concepts from evolving data streams using ensemble method. The International Arab Journal of Information Technology Vol. 16, no. 6 (Nov. 2019), pp.1044-1052.
https://search.emarefa.net/detail/BIM-915131

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Sun, Yange& Wang, Zhihai& Yuan, Jidong& Zhang, Wei. Tracking recurring concepts from evolving data streams using ensemble method. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 6, pp.1044-1052.
https://search.emarefa.net/detail/BIM-915131

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 1050-1051

رقم السجل

BIM-915131