Data Mining Reading Group

This week's paper is 'Interestingness measures for data mining: A survey ' by Liqiang Geng and Howard Hamilton of University of Regina, Saskatchewan. This paper provides great deal of information...

http://dmreadinggroup.blogspot.com/2009/09/meeting-13-interestingness-measures-for.html

This week's paper is Anıl Gursel and Sandip Sen's "Improving Search In Social Networks by Agent Based Mining " from IJCAI 2009. The abstract of this paper is as follows. "The popularity of soci...

http://dmreadinggroup.blogspot.com/2009/07/improving-search-in-social-networks-by.html

One of the hot topics in the data mining world is how to discover the semantic meaning of a text document. Semantic meaning is related to moving beyond treating documents as a bag of words and in...

http://dmreadinggroup.blogspot.com/2009/05/topic-models-latent-dirichlet.html

This week, Adnan will be presenting "Fast Mining of Distance-Based Outliers in High-Dimensional Datasets " by Amol Ghoting, Srinivasan Parthasarathy and Matthew Eric Otey of IBM, Ohio State Unive...

http://dmreadinggroup.blogspot.com/2009/04/meeting-10-fast-mining-of-distance.html

Next week, Raja Peer is presenting the following paper on Support Vector Machines for the reading group. A tutorial on support vector machines for pattern recognition CJC Burges - Data mining an...

http://dmreadinggroup.blogspot.com/2009/03/meeting-9-support-vector-machines-for.html

This week Jeff Bergman discussed the Adaptive Boosting and it's role as a technique for combining a number of “weak” classifiers to make a “strong” classifier. The paper discussed was A...

http://dmreadinggroup.blogspot.com/2009/03/meeting-8-adaboost-and-logistic.html

This week our discussion is about the VLDB'98 conference paper on "Algorithms for Mining Distance-Based Outliers in Large Datasets." by Edwin M. Knox and Raymond T. Ng of University of British Co...

http://dmreadinggroup.blogspot.com/2009/02/meeting-7-algorithms-for-mining.html

Paper: Privacy Preserving Mining of Association Rules By Alexandre Evfimievski Ramakrishnan Srikant Rakesh Agrawal Johannes Gehrke In this meeting we went through the paper to understand mainly...

http://dmreadinggroup.blogspot.com/2009/02/meeting-6-privacy-preserving-mining-of.html

In the fifth meeting we plan to review probabilistic inference and modeling, focusing on Bayesian methods, including Bayesian Inference, Bayesian Networks, and Markov Random Fields, time permitti...

http://dmreadinggroup.blogspot.com/2009/01/meeting-5-probabilistic-inference.html

In the fourth meeting of Data mining reading group, we reviewed the top ten data mining algorithms paper based on the IEEE survey. Adnan Masood and Jeff Bergman co-presented the ten algorithms T...

http://dmreadinggroup.blogspot.com/2009/01/meeting-4-top-ten-data-mining.html

In the third meeting of Data Mining Reading Group, we reviewed the famous MapReduce paper from ACM SIGMod 2007. It was presented by Raja Peer. Map-reduce-merge: simplified relational data proces...

http://dmreadinggroup.blogspot.com/2009/01/meeting-3-map-reduce-1222009.html

In the 2nd data mining reading group meeting, we went over the Netflix Paper from KDD 2008. This week's presenter was Jeff Bergman. Factorization Meets the Neighborhood: a Multifaceted Collabora...

http://dmreadinggroup.blogspot.com/2009/01/meeting-2-page-rank-1152008.html

In the first data mining reading group meeting, we went over the Page Rank Paper. This week's presenter was Adnan Masood The anatomy of a large-scale hypertextual Web search engine S Brin, L P...

http://dmreadinggroup.blogspot.com/2009/01/data-mining-reading-group-meeting-1-thu.html