%0 Unpublished Work %1 citeulike:342652 %A Jensen, David %A Neville, Jennifer %D 2002 %K socialnets %T Data Mining in Social Networks %U http://kdl.cs.umass.edu/people/jensen/papers/nas02.html %X Several techniques for learning statistical models have been developed recently by researchers in machine learning and data mining. All of these techniques must address a similar set of representational and algorithmic choices and must face a set of statistical challenges unique to learning from relational data.

@unpublished{citeulike:342652, abstract = {Several techniques for learning statistical models have been developed recently by researchers in machine learning and data mining. All of these techniques must address a similar set of representational and algorithmic choices and must face a set of statistical challenges unique to learning from relational data.}, added-at = {2006-06-16T10:34:37.000+0200}, author = {Jensen, David and Neville, Jennifer}, biburl = {https://www.bibsonomy.org/bibtex/268cdab58f4fe4def2d3c6c41a2e4b339/ldietz}, citeulike-article-id = {342652}, comment = {Task: Learning probability distributions over the values of attributes of objects and links Method: Relational Probability Trees (RPTs) (Jensen \& Neville, 2002) Construction Algo for RPTs is a recursive partitioning algorithm C4.5 inspired Domain: Movies}, howpublished = {Invited presentation to the National Academy of Sciences Workshop on Dynamic Social Network Modeling and Analysis. Washington, DC. November 7-9. (with Jen Neville)}, interhash = {18df3fc0bde364fbe918d2ad1eb4b89e}, intrahash = {68cdab58f4fe4def2d3c6c41a2e4b339}, keywords = {socialnets}, month = {December}, priority = {0}, timestamp = {2006-06-16T10:34:37.000+0200}, title = {Data Mining in Social Networks}, url = {http://kdl.cs.umass.edu/people/jensen/papers/nas02.html}, year = 2002 }