Using RhNav - Rhizome Navigation I wrote a data aggregator for Technorati's API. The first result is a video which visualizes blog domains by analysing Technorati's Cosmos (the blogs which link to a particular URL). The video is a screencast of RhNav fetc
I posted an updated tech demo of RhNav - Rhizome Navigation visualizing user behavior of this blog. The graph is now centered around the page where most time is spent. Noise created by search engine robots is filtered which should clear things up quite a
TANAGRA is a free DATA MINING software for academic and research purposes. It proposes several data mining methods from exploratory data analysis, statistical learning, machine learning and databases area.
Weka Machine Learning Project
An exciting and potentially far-reaching development in computer science is the invention and application of methods of machine learning. These enable a computer program to automatically analyse a large body of data and decide what information is most relevant. This crystallised information can then be used to automatically make predictions or to help people make decisions faster and more accurately.
The overall goal of our project is to build a state-of-the-art facility for developing machine learning (ML) techniques and to apply them to real-world data mining problems. Our team has incorporated several standard ML techniques into a software "workbench" called WEKA, for Waikato Environment for Knowledge Analysis. With it, a specialist in a particular field is able to use ML to derive useful knowledge from databases that are far too large to be analysed by hand. WEKA's users are ML researchers and industrial scientists, but it is also widely used for teaching.
Weka 3: Data Mining Software in Java
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
The goal of the nora project is to produce software for discovering, visualizing, and exploring significant patterns across large collections of full-text humanities resources in existing digital libraries.
This document describes the implementation of a DAQ model. It provides a number of tools to develop a data acquisition system.
To facilitate comunication between different objects, DAQ++ implements a very simple Observer model, in which some of the DAQ++ objects are defined as DAQpp::Observables and some as DAQpp::Observers. Observers subscribe to the messages defined in the Observables and are notified whenever a change occurs.
The basis of the system is the DAQpp::Module object. It represents a detector or DAQ unit. As such, it implements the basic DAQ commands to get ready, start or stop the DAQ, retreive the data, etc.
I. Mierswa, M. Wurst, R. Klinkenberg, M. Scholz, und T. Euler. KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, Seite 935--940. New York, NY, USA, ACM, (2006)