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ORCIDStatistical Analysis and Data Mining, Volume 1
Volume 1, Number 1, February 2008
- Arnold Goodman, Chandrika Kamath, Vipin Kumar:
Data Analysis in the 21st Century. 1-3
- Srinivasan Parthasarathy
, Bing Liu:
Guest editorial. 4-5
- Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos:
Less is More: Sparse Graph Mining with Compact Matrix Decomposition. 6-22 - Jun Yang, Rong Yan, Yan Liu, Eric P. Xing:
Harmonium Models for Video Classification. 23-37 - Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon:
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem. 38-51
- Jon R. Kettenring:
A Perspective on Cluster Analysis. 52-53
- Arnold Goodman:
Brief History of the Interface of Computing and Statistics which Preceded Data Mining's Birth. 54-56
Volume 1, Number 2, June 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. 57-66 - Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Jérémy Besson, Mohammed J. Zaki:
ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns. 67-84 - Kanishka Bhaduri, Ran Wolff, Chris Giannella, Hillol Kargupta:
Distributed Decision-Tree Induction in Peer-to-Peer Systems. 85-103
- Haym Hirsh:
Data Mining Research: Current Status and Future Opportunities. 104-107
Volume 1, Number 3, 25 November 2008
- Mohammed J. Zaki, Ke Wang:
Special Issue on the Best Papers of SDM'08. 109-110
- Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek:
Global Correlation Clustering Based on the Hough Transform. 111-127 - Xiaoli Z. Fern, Wei Lin:
Cluster Ensemble Selection. 128-141 - Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos:
Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs. 142-156 - Michael E. Houle:
The Relevant-Set Correlation Model for Data Clustering. 157-176 - Kanishka Bhaduri, Hillol Kargupta:
A Scalable Local Algorithm for Distributed Multivariate Regression. 177-194 - Prateek Jain, Raghu Meka, Inderjit S. Dhillon:
Simultaneous Unsupervised Learning of Disparate Clusterings. 195-210
- Vipin Kumar:
Summary Report of SDM 2008 Panel: Perspectives on Research Directions and Trends for the Data Mining Research Community. 211-213
Volume 1, Number 4, March 2009
- Olvi L. Mangasarian, Edward W. Wild, Glenn Fung:
Proximal Knowledge-based Classification. 215-222
- Peter J. Haas, Ihab F. Ilyas, Guy M. Lohman, Volker Markl:
Discovering and Exploiting Statistical Properties for Query Optimization in Relational Databases: A Survey. 223-250
- Chris Fraley, Tim Hesterberg:
Least Angle Regression and LASSO for Large Datasets. 251-259 - Gaurav Pandey, Sanjay Chawla, Simon K. Poon, Bavani Arunasalam, Joseph G. Davis:
Association Rules Network: Definition and Applications. 260-279
- Necip Doganaksoy, Gerald J. Hahn:
Data Mining: A Gateway to Better Data Gathering. 280-283
Volume 1, Number 5, April 2009
- Chandrika Kamath:
Application-Driven Data Analysis. 285
- Krishna Rajan, Patricio F. Mendez:
Materials Informatics. 286
- Ting Chen, Chong Zhang, Xia Chen, Liqing Li:
An Input Variable Selection Method for the Artificial Neural Network of Shear Stiffness of Worsted Fabrics. 287-295
- H. K. D. H. Bhadeshia:
Neural Networks and Information in Materials Science. 296-305
- Veera Sundararaghavan, Nicholas Zabaras:
A statistical learning approach for the design of polycrystalline materials. 306-321 - 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. 322-328
Volume 1, Number 6, June 2009
- Shubhabrata Datta:
Extraction of knowledge from high strength steel data using soft computing techniques - an overview. 329-337
- 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. 338-352 - Scott R. Broderick, Hafid Aourag, Krishna Rajan:
Data mining density of states spectra for crystal structure classification: An inverse problem approach. 353-360 - 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. 361-371
- Richard LeSar:
Materials informatics: An emerging technology for materials development. 372-374
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