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Publication search results
found 35 matches
- 2014
- Zubin Abraham, Pang-Ning Tan, Perdinan, Julie A. Winkler, Shiyuan Zhong, Malgorzata Liszewska:
Contour regression: A distribution-regularized regression framework for climate modeling. Stat. Anal. Data Min. 7(4): 272-281 (2014) - Charu C. Aggarwal, Yan Xie, Philip S. Yu:
A framework for dynamic link prediction in heterogeneous networks. Stat. Anal. Data Min. 7(1): 14-33 (2014) - Khaled Alotaibi, Victor J. Rayward-Smith, Beatriz de la Iglesia:
Nonmetric multidimensional scaling: A perturbation model for privacy-preserving data clustering. Stat. Anal. Data Min. 7(3): 175-193 (2014) - Nafees Anwar, Geoff Jones, Siva Ganesh:
Measurement of data complexity for classification problems with unbalanced data. Stat. Anal. Data Min. 7(3): 194-211 (2014) - Murad Badarna, Ran Wolff:
Fast and accurate detection of changes in data streams. Stat. Anal. Data Min. 7(2): 125-139 (2014) - William S. Cleveland:
Data science: An action plan for expanding the technical areas of the field of statistics. Stat. Anal. Data Min. 7(6): 414-417 (2014) - William S. Cleveland, Ryan Hafen:
Divide and recombine (D&R): Data science for large complex data. Stat. Anal. Data Min. 7(6): 425-433 (2014) - Boris Cule, Nikolaj Tatti, Bart Goethals:
MARBLES: Mining association rules buried in long event sequences. Stat. Anal. Data Min. 7(2): 93-110 (2014) - Ryan R. Curtin, Parikshit Ram:
Dual-tree fast exact max-kernel search. Stat. Anal. Data Min. 7(4): 229-253 (2014) - Houtao Deng, Mustafa Gökçe Baydogan, George C. Runger:
SMT: Sparse multivariate tree. Stat. Anal. Data Min. 7(1): 53-69 (2014) - 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. Stat. Anal. Data Min. 7(4): 308-321 (2014) - Jennifer G. Dy, Zhi-Hua Zhou:
Editorial to the Special Issue of Selected Papers of SDM 2013. Stat. Anal. Data Min. 7(4): 227-228 (2014) - 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. Stat. Anal. Data Min. 7(5): 368-375 (2014) - Liang Ge, Jing Gao, Hung Q. Ngo, Kang Li, Aidong Zhang:
On handling negative transfer and imbalanced distributions in multiple source transfer learning. Stat. Anal. Data Min. 7(4): 254-271 (2014) - 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. Stat. Anal. Data Min. 7(5): 385-403 (2014) - Michael J. Kane:
Cleveland's action plan and the development of data science over the last 12 years. Stat. Anal. Data Min. 7(6): 423-424 (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. Stat. Anal. Data Min. 7(5): 323-336 (2014) - Bibudh Lahiri, Srikanta Tirthapura, Jaideep Chandrashekar:
Space-efficient tracking of persistent items in a massive data stream. Stat. Anal. Data Min. 7(1): 70-92 (2014) - Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders:
Mining Compressing Sequential Patterns. Stat. Anal. Data Min. 7(1): 34-52 (2014) - Dongryeol Lee, Piyush Sao, Richard W. Vuduc, Alexander G. Gray:
A distributed kernel summation framework for general-dimension machine learning. Stat. Anal. Data Min. 7(1): 1-13 (2014) - Richard A. Levine, Juanjuan Fan, Xiaogang Su, Martha E. Nunn:
Bayesian survival trees for clustered observations, applied to tooth prognosis. Stat. Anal. Data Min. 7(2): 111-124 (2014) - Cong Liu, Tao Shi, Yoonkyung Lee:
Two tales of variable selection for high dimensional regression: Screening and model building. Stat. Anal. Data Min. 7(2): 140-159 (2014) - Ji Meng Loh:
Spatial detection of anomalous cellular network events. Stat. Anal. Data Min. 7(3): 212-225 (2014) - Kenneth K. Lopiano, Robert L. Obenchain, S. Stanley Young:
Fair treatment comparisons in observational research. Stat. Anal. Data Min. 7(5): 376-384 (2014) - Cameron A. MacKenzie, Theodore B. Trafalis, Kash Barker:
A Bayesian beta kernel model for binary classification and online learning problems. Stat. Anal. Data Min. 7(6): 434-449 (2014) - David Madigan:
Editorial. Stat. Anal. Data Min. 7(6): 413 (2014) - Marianthi Markatou, Robert Ball:
A pattern discovery framework for adverse event evaluation and inference in spontaneous reporting systems. Stat. Anal. Data Min. 7(5): 352-367 (2014) - Tyler H. McCormick, Rebecca Ferrell, Alan F. Karr, Patrick B. Ryan:
Big data, big results: Knowledge discovery in output from large-scale analytics. Stat. Anal. Data Min. 7(5): 404-412 (2014) - Christopher Minas, Giovanni Montana:
Distance-Based Analysis of Variance: Approximate Inference. Stat. Anal. Data Min. 7(6): 450-470 (2014) - Kary L. Myers, Scott A. Vander Wiel:
Discussion of 'data science: An action plan for expanding the technical areas of the field of statistics'. Stat. Anal. Data Min. 7(6): 420-422 (2014)
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