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Non-disjoint groupping of Documents based on word sequence approach
This is a GUI for learning non disjoint groups of documents based on Weka machine learning framework. It offers the possibility to make non disjoint
clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported
by WEKA could be used in DocCO. Data could be loaded from files, from
databases or from specified URL. All the preprocessing techniques implemented in
WEKA could be used before performing the learning.
Context-aware experience sampling/ecological momentary assessment software that uses sensors on PDA devices with artificial intelligence algorithms to enable researchers to study people and how they behave in real environments.
*** This page is no longer used by the Dasher project - please see http://www.inference.phy.cam.ac.uk/dasher/ *** Dasher is a data entry interface incorporating language modelling and driven by continuous two-dimensional gestures, e.g. a mouse, a stylus