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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.
MultiEnquisas allows to create,modify and manipulate surveys and collecting, processing and export of results to excel and CSV.There are many kinds of questions.It has three applications,one to administration and two to cover surveys(web and PDA)
A Trial Workbench for Facilitating Best Practices from Prospective to Acute Care in Respiratory Medicine. We aim to provide a set of information management toolboxes that facilitates decision support applications in medical information systems.