December 2014
Intermediate to advanced
100 pages
2h 22m
English
book
A Machine-Learning Approach to Phishing Detection and Defense
by O.A. Akanbi, Iraj Sadegh Amiri, E. Fazeldehkordi
Content preview from A Machine-Learning Approach to Phishing Detection and Defense
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Chapter 4
Feature Extraction
Abstract
This chapter extensively discusses the dataset preprocessing techniques and how the features are extracted from the dataset. It started off with an introductory chapter that also covers the structural overview of the sections in this chapter. The next section discusses the processing techniques introduced on the dataset followed by the feature extraction process, which includes the description of the extracted features. Furthermore, the verification of the data used is discussed in the following section that leads to the normalization technique used in the data processing. The normalization process prepares the dataset before introducing it to the classifiers for classification. Perhaps, the process of ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.