In this paper, we present and use a method for e-mail categorization based on simple term statistics updated incrementally. We apply simple term statistics ...
In this paper, we present and use a method for e-mail categorization based on simple term statistics updated incrementally. We apply simple term statistics ...
Abstract. In this paper, we present and use a method for e-mail categorization based on simple term statistics updated incrementally. We apply simple term.
In this paper, we present and use a method for e-mail categorization based on simple term statistics updated incrementally. We apply simple term statistics ...
(2009) Incremental e-mail classification and rule suggestion using simple term statistics, in A. Nicholson and X. Li (eds.),. AI 2009: Advances in Artificial ...
We define the recommendation accuracy of a system Accrec,N = D. D+E in terms of Table 1, where. N is the number of recommended activities. For example,. Accrec ...
Missing: Statistics. | Show results with:Statistics.
The Enron dataset is downloaded for the classification of spam emails and the classifier implemented here were J48 and Multilayer Perceptron which belong to the ...
Jun 28, 2017 · The research directions, research challenges, and open issues in the field of e-mail classification are also presented for future researchers.
In this paper, we introduce efficient methods for incremental multi-label categorization of documents. We use concept clumping to efficiently categorize ...
In this paper, email data was classified using four different classifiers (Neural Network, SVM classifier, Naïve Bayesian Classifier, and J48 classifier).