An ensemble approach has been proposed to mitigate the impact of class imbalance. Extensive experiments have been conducted using real-world Twitter data. The ...
In this paper, we begin with investigating the class imbalance problem in machine learning based Twitter spam detection based on real-world data. We first ...
Moreover, we develop an ensemble learning approach that learns more accurate classifiers from imbalanced data in three steps. In the first step, the class ...
Moreover, we develop an ensemble learning approach that learns more accurate classifiers from imbalanced data in three steps. In the first step, the class ...
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How to mitigate class imbalance?
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[9] proposed an ensemble Undersamplingbased strategy to tackle the class imbalance problem on spam detection in Weibo. A novel way named fuzzy-logicbased ...
Jun 30, 2016 · To mitigate the threat, a lot of recent studies use machine learning techniques to classify Twitter spam and report very satisfactory results.
In order to address the problem of imbalance classification in Twitter spam detection, an ensemble learning approach that incorporated a majority voting ...
3 days ago · The proposed method is compared and evaluated against some popular methods on the Twitter Spam Detection corpus using accuracy, precision, ...
Sep 17, 2017 · Previous study has shown that the detection rate for Twitter spam can be decreased for about 33% in average with the class imbalance rate rises ...
Evaluation metrics for spam detection. When addressing a class imbalance problem using a classifier, assessing model per- formance solely based on accuracy ...