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This paper presents text and data mining in tandem to detect the phishing email. The study employs Multilayer Perceptron (MLP), Decision Trees (DT), Support Vector Machine (SVM), Group Method of Data Handling (GMDH), Probabilistic Neural Net (PNN), Genetic Programming (GP) and Logistic Regression (LR) for classification. A dataset of 2500 phishing and non phishing emails is analyzed after extracting...
Text is still the most prevalent Internet media type. Examples of this include popular social networking applications such as Twitter, Craigslist, Facebook, etc. Other web applications such as e-mail, blog, chat rooms, etc. are also mostly text based. A question we address in this paper that deals with text based Internet forensics is the following: given a short text document, can we identify if...
The following topics are dealt with: data mining; local clustering; spatiotemporal event detection; time series; Markov models; email classification; data stream; parallel mining; Bayesian network; unsupervised learning; missing values prediction; anomaly detection; decision tree; binary classifier; data similarity matrix; data mapping; support vector machine; Mapreduce; document similarity; social...
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