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ORCIDStatistical Analysis and Data Mining, Volume 7
Volume 7, Number 1, February 2014
- Dongryeol Lee, Piyush Sao, Richard W. Vuduc, Alexander G. Gray:
A distributed kernel summation framework for general-dimension machine learning. 1-13 - Charu C. Aggarwal, Yan Xie, Philip S. Yu:
A framework for dynamic link prediction in heterogeneous networks. 14-33 - Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders:
Mining Compressing Sequential Patterns. 34-52 - Houtao Deng, Mustafa Gökçe Baydogan
, George C. Runger:
SMT: Sparse multivariate tree. 53-69 - Bibudh Lahiri, Srikanta Tirthapura, Jaideep Chandrashekar:
Space-efficient tracking of persistent items in a massive data stream. 70-92
Volume 7, Number 2, April 2014
- Boris Cule, Nikolaj Tatti, Bart Goethals:
MARBLES: Mining association rules buried in long event sequences. 93-110
- Richard A. Levine, Juanjuan Fan, Xiaogang Su, Martha E. Nunn:
Bayesian survival trees for clustered observations, applied to tooth prognosis. 111-124 - Murad Badarna, Ran Wolff:
Fast and accurate detection of changes in data streams. 125-139 - Cong Liu, Tao Shi, Yoonkyung Lee:
Two tales of variable selection for high dimensional regression: Screening and model building. 140-159
Volume 7, Number 3, June 2014
- Xiaoxiao Shi, Jean-François Paiement, David Grangier, Philip S. Yu:
GBC: Gradient boosting consensus model for heterogeneous data. 161-174
- Khaled Alotaibi, Victor J. Rayward-Smith, Beatriz de la Iglesia:
Nonmetric multidimensional scaling: A perturbation model for privacy-preserving data clustering. 175-193 - Nafees Anwar, Geoff Jones, Siva Ganesh:
Measurement of data complexity for classification problems with unbalanced data. 194-211 - Ji Meng Loh:
Spatial detection of anomalous cellular network events. 212-225
Volume 7, Number 4, August 2014
- Jennifer G. Dy, Zhi-Hua Zhou:
Editorial to the Special Issue of Selected Papers of SDM 2013. 227-228
- Ryan R. Curtin, Parikshit Ram:
Dual-tree fast exact max-kernel search. 229-253 - Liang Ge, Jing Gao, Hung Q. Ngo, Kang Li, Aidong Zhang:
On handling negative transfer and imbalanced distributions in multiple source transfer learning. 254-271 - Zubin Abraham, Pang-Ning Tan, Perdinan, Julie A. Winkler, Shiyuan Zhong, Malgorzata Liszewska:
Contour regression: A distribution-regularized regression framework for climate modeling. 272-281 - Ben Tan, Erheng Zhong, Evan Wei Xiang, Qiang Yang:
Multi-transfer: Transfer learning with multiple views and multiple sources. 282-293 - C. Seshadhri, Ali Pinar, Tamara G. Kolda:
Wedge sampling for computing clustering coefficients and triangle counts on large graphs. 294-307 - Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang, Yue Lu:
Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks. 308-321
Volume 7, Number 5, October 2014
- Joseph Kang, Xiaogang Su, Lei Liu, Martha L. Daviglus:
Causal inference of interaction effects with inverse propensity weighting, G-computation and tree-based standardization. 323-336
- Jennifer C. Nelson, Susan M. Shortreed, Onchee Yu, Do Peterson, Roger Baxter, Bruce Fireman, Ned Lewis, Dave McClure, Eric Weintraub, Stan Xu, Lisa A. Jackson:
Integrating database knowledge and epidemiological design to improve the implementation of data mining methods that evaluate vaccine safety in large healthcare databases. 337-351 - Marianthi Markatou, Robert Ball:
A pattern discovery framework for adverse event evaluation and inference in spontaneous reporting systems. 352-367
- Riley Franks, Sukhminder Sandhu, Armen Avagyan, Yun Lu, Han Hong, Bruno Garcia, Christopher Worrall, Jeffrey Kelman, Robert Ball, Thomas MaCurdy:
Robustness properties of a sequential test for vaccine safety in the presence of misspecification. 368-375 - Kenneth K. Lopiano, Robert L. Obenchain, S. Stanley Young:
Fair treatment comparisons in observational research. 376-384 - Yolanda Hagar, David J. Albers, Rimma Pivovarov, Herbert S. Chase, Vanja Dukic, Noémie Elhadad:
Survival analysis with electronic health record data: Experiments with chronic kidney disease. 385-403 - Tyler H. McCormick, Rebecca Ferrell, Alan F. Karr, Patrick B. Ryan:
Big data, big results: Knowledge discovery in output from large-scale analytics. 404-412
Volume 7, Number 6, December 2014
- David Madigan:
Editorial. 413
- William S. Cleveland:
Data science: An action plan for expanding the technical areas of the field of statistics. 414-417
- Steven L. Scott:
Carpe Datum! Comment on 'data science: An action plan for expanding the technical areas of the field of statistics'. 418-419 - Kary L. Myers, Scott A. Vander Wiel:
Discussion of 'data science: An action plan for expanding the technical areas of the field of statistics'. 420-422 - Michael J. Kane:
Cleveland's action plan and the development of data science over the last 12 years. 423-424 - William S. Cleveland, Ryan Hafen:
Divide and recombine (D&R): Data science for large complex data. 425-433
- Cameron A. MacKenzie, Theodore B. Trafalis, Kash Barker:
A Bayesian beta kernel model for binary classification and online learning problems. 434-449 - Christopher Minas, Giovanni Montana:
Distance-Based Analysis of Variance: Approximate Inference. 450-470
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