Now showing items 1-4 of 4
Big Data Sanitization Using Scalable In-Memory Frameworks
As more and more data is collected, it is growing beyond the scale humans could ever have imagined. Not only data but also data collection and analysis techniques have evolved and have enabled researchers to advance many ...
Categorizing the Security and Privacy of "Internet of Things" Devices
Internet of Things (IoT) devices are becoming an important part of our daily lives. In this thesis, we analyze the security and privacy risks of IoT devices in Smart Homes Hubs, the intersection of our daily lives and ...
Feature Engineering for Data Analytics
Data plays a fundamental role in modern science, engineering, and business applications. We investigate two important problems in data analytics. The first is feature selection, where we consider both the unsupervised and ...
Feature Selection and Extraction - Algorithms and Applications
Feature selection is a very important process in statistics and machine learning. It removes redundant and irrelevant features and selects the most useful set of features from a given dataset. This tends to improve ...