Canberra, 11 November 2007 The ANU Data Mining Group is pleased to announce the release of Febrl 0.4, a Python based open source prototype data standardisation, record linkage and deduplication system.
Febrl 0.4 includes a comprehensive graphical user interface (GUI) based on PyGTK. This will facilitate record linkage for users that have no experience in the Python programming language. Febrl 0.4 contains many new field comparison functions, several new indexing (blocking) techniques and novel classification approaches. All Febrl modules have been re-designed, improved, and updated to take advantage of new features made available in Python version 2.5. Febrl is available under a free, open source license, which we hope will encourage others to contribute to its further development and support. Contact details, background information and research papers and presentations are all available from the project Web site at: http://datamining.anu.edu.au/linkage.html while the Febrl 0.4 code and documentation can be downloaded from: http://sourceforge.net/projects/febrl For the Febrl team, Peter Christen -- =============================================== Dr Peter Christen Senior Lecturer / Graduate Advisor Department of Computer Science ANU College of Engineering and Computer Science CSIT Building (108), North Road The Australian National University Canberra ACT 0200 Australia T: +61 2 6125 5690 F: +61 2 6125 0010 W: http://cs.anu.edu.au/~Peter.Christen CRICOS Provider #00120C -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations.html
