We have presented in this paper a novel featuring method for spam filtering. Instead of classifying emails according to keywords, this study analyzes the ...
Our review compares the strengths and drawbacks of existing machine learning approaches and the open research problems in spam filtering.
In the process of improving process efficiency and filtering junk mail, the extraction of E-mail characteristic is the key problem of exactness classification.
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Hence, it is more appropriate to construct a classification model for spam filtering that uses positive training examples (i.e., spam) and unlabeled instances ...
We describe the detail of rule extraction from classified data. Here, the rules whether input data is classified into positive cases are extracted. In order to ...
Missing: Induction. | Show results with:Induction.
Dec 18, 2019 · Rule induction is a ML technique used to extract classification rules -usually in the form IF (conditions) THEN (predicted class)- from data.
Missing: Spam | Show results with:Spam
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Dec 2, 2010 · Spam filtering: how the dimensionality reduction affects the accuracy of Naive Bayes classifiers · Abstract · References · Author information ...
Missing: Acquisition | Show results with:Acquisition
Patterns of induction and associated knowledge acquisition algorithms.
Missing: Spam Filtering Rule
Mar 22, 2021 · This study's key contribution is explaining the principles of different machine learning techniques and their applicability in various real-world application ...