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...This plugin adds possibility to use semantic features in wiki. It is targeted to support software development and presentation. Uses standalone semantic repository Sesame 2. Download plugin or try virtual machine.
Spider that recollects data from MySpace Social Network.
At now, it is only designed to extract information from native american people because it is used for a social science study in the UNAM (Universidad Nacional Autónoma de México).
A HTML scraper that uses machine learning frameworks to extract labelled fields from raw HTML. The project also involves the development of a tool to display the semi structured data generated by the scraper component.
A threaded Web graph (Power law random graph) generator written in Python. It can generate a synthetic Web graph of about one million nodes in a few minutes on a desktop machine. It implements a threaded variant of the RMAT algorithm.
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Remote control a Windows machine without bluetooth using a java (j2me) mobile device. Either use a direct intenet connection, or a bluetooth-net proxy server (resolving bluetooth/802.11g interference while streaming).
pypt-offline is a utility for people using Debian (and distros based on debian) on a disconnected machine. It helps in downloading the required data from another, high bandwidth Windows/Linux/Mac box.
PyIDS is an intrusion detection system whose aim is to provide concise information to administrators about some parts of the system i.e filesystem checksums, unknown connections to the machine, access control lists of special files, log revision...
niab - Network In A Box.
Create a virtual lab network inside one machine. A lab can include routers, firewalls, clients and servers connected by a network specified by you. [Linux Network Simulator, UML, user mode linux]
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The Meme Machine generates a visual and spoken narrative among connected nodes and the world wide web, in an expanding network using open source algorithms. The computers exhibit eerie self-deterministic behaviours.
This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.