Statistical 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
  
• N. 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