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Publication search results
found 35 matches
- 2009
- H. K. D. H. Bhadeshia:
Neural Networks and Information in Materials Science. Stat. Anal. Data Min. 1(5): 296-305 (2009) - Scott R. Broderick, Hafid Aourag, Krishna Rajan:
Data mining density of states spectra for crystal structure classification: An inverse problem approach. Stat. Anal. Data Min. 1(6): 353-360 (2009) - Nirupam Chakraborti:
How multi-objective genetic algorithms handle lack of data, sparse data and excess data: evaluation of some recent case studies in the materials domain. Stat. Anal. Data Min. 1(5): 322-328 (2009) - Ting Chen, Chong Zhang, Xia Chen, Liqing Li:
An Input Variable Selection Method for the Artificial Neural Network of Shear Stiffness of Worsted Fabrics. Stat. Anal. Data Min. 1(5): 287-295 (2009) - Shubhabrata Datta:
Extraction of knowledge from high strength steel data using soft computing techniques - an overview. Stat. Anal. Data Min. 1(6): 329-337 (2009) - Necip Doganaksoy, Gerald J. Hahn:
Data Mining: A Gateway to Better Data Gathering. Stat. Anal. Data Min. 1(4): 280-283 (2009) - Chris Fraley, Tim Hesterberg:
Least Angle Regression and LASSO for Large Datasets. Stat. Anal. Data Min. 1(4): 251-259 (2009) - Peter J. Haas, Ihab F. Ilyas, Guy M. Lohman, Volker Markl:
Discovering and Exploiting Statistical Properties for Query Optimization in Relational Databases: A Survey. Stat. Anal. Data Min. 1(4): 223-250 (2009) - Chandrika Kamath:
Application-Driven Data Analysis. Stat. Anal. Data Min. 1(5): 285 (2009) - Richard LeSar:
Materials informatics: An emerging technology for materials development. Stat. Anal. Data Min. 1(6): 372-374 (2009) - Olvi L. Mangasarian, Edward W. Wild, Glenn Fung:
Proximal Knowledge-based Classification. Stat. Anal. Data Min. 1(4): 215-222 (2009) - Michael Mentges, Rudolf Richter, Wilhelm F. Maier:
Development of a high throughput environment for the optimization of process parameters for the solvothermal synthesis of isomerization catalysts. Stat. Anal. Data Min. 1(6): 338-352 (2009) - Gaurav Pandey, Sanjay Chawla, Simon K. Poon, Bavani Arunasalam, Joseph G. Davis:
Association Rules Network: Definition and Applications. Stat. Anal. Data Min. 1(4): 260-279 (2009) - Krishna Rajan, Patricio F. Mendez:
Materials Informatics. Stat. Anal. Data Min. 1(5): 286 (2009) - Krishna Rajan, Changwon Suh, Patricio F. Mendez:
Principal component analysis and dimensional analysis as materials informatics tools to reduce dimensionality in materials science and engineering. Stat. Anal. Data Min. 1(6): 361-371 (2009) - Veera Sundararaghavan, Nicholas Zabaras:
A statistical learning approach for the design of polycrystalline materials. Stat. Anal. Data Min. 1(5): 306-321 (2009) - 2008
- Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek:
Global Correlation Clustering Based on the Hough Transform. Stat. Anal. Data Min. 1(3): 111-127 (2008) - Kanishka Bhaduri, Hillol Kargupta:
A Scalable Local Algorithm for Distributed Multivariate Regression. Stat. Anal. Data Min. 1(3): 177-194 (2008) - Kanishka Bhaduri, Ran Wolff, Chris Giannella, Hillol Kargupta:
Distributed Decision-Tree Induction in Peer-to-Peer Systems. Stat. Anal. Data Min. 1(2): 85-103 (2008) - Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Jérémy Besson, Mohammed J. Zaki:
ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns. Stat. Anal. Data Min. 1(2): 67-84 (2008) - Xiaoli Z. Fern, Wei Lin:
Cluster Ensemble Selection. Stat. Anal. Data Min. 1(3): 128-141 (2008) - Arnold Goodman:
Brief History of the Interface of Computing and Statistics which Preceded Data Mining's Birth. Stat. Anal. Data Min. 1(1): 54-56 (2008) - Arnold Goodman, Chandrika Kamath, Vipin Kumar:
Data Analysis in the 21st Century. Stat. Anal. Data Min. 1(1): 1-3 (2008) - Haym Hirsh:
Data Mining Research: Current Status and Future Opportunities. Stat. Anal. Data Min. 1(2): 104-107 (2008) - Michael E. Houle:
The Relevant-Set Correlation Model for Data Clustering. Stat. Anal. Data Min. 1(3): 157-176 (2008) - Prateek Jain, Raghu Meka, Inderjit S. Dhillon:
Simultaneous Unsupervised Learning of Disparate Clusterings. Stat. Anal. Data Min. 1(3): 195-210 (2008) - Jon R. Kettenring:
A Perspective on Cluster Analysis. Stat. Anal. Data Min. 1(1): 52-53 (2008) - Seoung Bum Kim, Victoria C. P. Chen, Youngja Park, Thomas R. Ziegler, Dean P. Jones:
Controlling the False Discovery Rate for Feature Selection in High-resolution NMR Spectra. Stat. Anal. Data Min. 1(2): 57-66 (2008) - Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon:
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem. Stat. Anal. Data Min. 1(1): 38-51 (2008) - Vipin Kumar:
Summary Report of SDM 2008 Panel: Perspectives on Research Directions and Trends for the Data Mining Research Community. Stat. Anal. Data Min. 1(3): 211-213 (2008)
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