]> http://www.llrx.com/taxonomy/term/312/0 <a href="mailto:lroberge@syr.edu">Linda Roberge</a> is Assistant Research Professor at Syracuse University.&nbsp; Her Ph.D. is in Information Systems with supporting fields of Statistics and Public Administration.&nbsp; Her research interests include use of information technology by the legal and medical professions.</font> <br> &nbsp; </font></p> en http://www.llrx.com/features/tracfed.htm <!-- BEGIN BODY OF PAGE --> <p align="center"></p> <h3 align="center"><font face="Arial&#44; Helvetica&#44; sans serif">A Review of TRAC<i>Fed</i>: Lawyers Strike Gold Mining Government Data</font></h3> <blockquote> <center> <p><font face="Arial&#44; Helvetica&#44; sans serif"><b><i><font color="#000000">by Patricia Hassett and Linda Roberge</font></i></b></font></p> Data Mining Features Hassett , Patricia Roberge, Linda Tue, 15 Oct 2002 00:00:00 -0700