A drift aware adaptive method based on minimum uncertainty for anomaly detection in social networking-Reference-Cited by-同舟云学术

A drift aware adaptive method based on minimum uncertainty for anomaly detection in social networking

Published:2020-12 Issue: Volume:162 Page:113881
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

mahmodi Emad,Yazdi Hadi Sadoghi,Bafghi Abbas Ghaemi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference43 articles.

1. Detecting mobile malicious webpages in real time;Amrutkar;IEEE Transactions on Mobile Computing,2017

2. Models and issues in data stream systems;Babcock,2002

3. Early drift detection method;Baena-García,2006

4. Bagheri, E., Lu, W., & Ghorbani, A. (2009). A Detailed Analysis of the KDD CUP 99 Data Set. In Second IEEE symposium on computational intelligence for security and defense applications (pp. 1-6). IEEE. year=2009,.

5. Adaptive learning from evolving data streams;Bifet,2009

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