Interdisciplinary data science education

[1]  Carole L. Palmer,et al.  Report from the Research Data Workforce Summit , 2011 .

[2]  Ranjit Bose,et al.  Advanced analytics: opportunities and challenges , 2009, Ind. Manag. Data Syst..

[3]  Carole L. Palmer,et al.  Purposeful Curation: Research and Education for a Future with Working Data , 2008 .

[4]  Daniel J. Power,et al.  Decision Support Systems: A Historical Overview , 2008 .

[5]  Mor Naaman,et al.  World explorer: visualizing aggregate data from unstructured text in geo-referenced collections , 2007, JCDL '07.

[6]  Graham Pervan,et al.  A critical analysis of decision support systems research , 2005, J. Inf. Technol..

[7]  Rajesh Parekh,et al.  Lessons and Challenges from Mining Retail E-Commerce Data , 2004, Machine Learning.

[8]  Anne E. Trefethen,et al.  The UK e-Science Core Programme and the Grid , 2002, Future Gener. Comput. Syst..

[9]  Wanda Pratt,et al.  Better rules, fewer features: a semantic approach to selecting features from text , 2001, Proceedings 2001 IEEE International Conference on Data Mining.

[10]  Kavitha Ranganathan,et al.  Identifying Dynamic Replication Strategies for a High-Performance Data Grid , 2001, GRID.

[11]  Jeffrey M. Stanton,et al.  Using Internet/Intranet Web Pages to Collect Organizational Research Data , 2001 .

[12]  T. N. Bhat,et al.  The Protein Data Bank , 2000, Nucleic Acids Res..

[13]  W. Wiegand.  Tunnel Vision and Blind Spots: What the past Tells Us about the Present; Reflections on the Twentieth-Century History of American Librarianship , 1999, The Library Quarterly.

[14]  Eric Miller,et al.  An Introduction to the Resource Description Framework , 1998, D Lib Mag..

[15]  Tracy Camp,et al.  The incredible shrinking pipeline , 1997, CACM.

[16]  Gregory Piatetsky-Shapiro,et al.  The KDD process for extracting useful knowledge from volumes of data , 1996, CACM.