Publications

Statistical Analysis and Data Mining addresses the broad area of data analysis, including data mining algorithms, statistical approaches, and practical applications. Topics include problems involving massive and complex datasets, solutions utilizing innovative data mining algorithms and/or novel statistical approaches, and the objective evaluation of analyses and solutions. Of special interest are articles that describe analytical techniques, and discuss their application to real problems, in such a way that they are accessible and beneficial to domain experts across science, engineering, and commerce. Now you can get FREE access to the first issue with our compliments. Browse around all articles in Issue 1 here. Included in the inaugural issue of Statistical Analysis and Data Mining: Less is More: Sparse Graph Mining with Compact Matrix Decomposition Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos Harmonium Models for Video Classification  Jun Yang, Rong Yan, Yan Liu, Eric P. Xing Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon A Perspective on Cluster Analysis Jon R. Kettenring Data Analysis in the 21st Century  Arnold Goodman, Chandrika Kamath, Vipin Kumar Brief History of the Interface of Computing and Statistics which Preceded Data Mining's Birth  Arnold Goodman Upcoming Special Issues include:    Materials Informatics: Data-Driven Discovery in Materials Science *   Data Analytics for Decision Support Issue 2 Preview: Access now with our compliments as well! Data Mining Research: Current Status and Future Opportunities  Haym Hirsh Interested in receiving the Tables of Contents as soon as they are available? Sign up for Content Alerts from Statistical Analysis and Data Mining. Simply visit the home page, www.interscience.wiley.com/SAM, and click on "Set E-mail Alert". Thinking of submitting your next paper to Statistical Analysis and Data Mining? Simply go to www.interscience.wiley.com/SAM and click on 'Submit'.