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ORCIDStatistical Analysis and Data Mining, Volume 5
Volume 5, Number 1, February 2012
- Chris Clifton, Takashi Washio:
Special issue on the best papers of SDM'11. 1-2 - Hanghang Tong
, Ching-Yung Lin:
Non-negative residual matrix factorization: problem definition, fast solutions, and applications. 3-15 - Charu C. Aggarwal, Nan Li:
On supervised mining of dynamic content-based networks. 16-34 - Nuno Filipe Castro, Paulo J. Azevedo:
Significant motifs in time series. 35-53 - Fei Wang, Jimeng Sun, Shahram Ebadollahi:
Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment. 54-69 - Rikiya Takahashi:
Sequential minimal optimization in convex clustering repetitions. 70-89
- Robert A. Stine:
Making room for the modeler in data mining. 90-91
Volume 5, Number 2, April 2012
- Joseph S. Verducci:
Introduction to Volume 5 Issue 2. 93-94
- Volodymyr Melnykov:
Efficient estimation in model-based clustering of Gaussian regression time series. 95-99
- Zhen Hu, Raj Bhatnagar:
Clustering algorithm based on mutual K-nearest neighbor relationships. 100-113 - Yoshinobu Kawahara, Masashi Sugiyama:
Sequential change-point detection based on direct density-ratio estimation. 114-127 - Yuexiao Dong, Liping Zhu:
A note on sliced inverse regression with missing predictors. 128-138 - Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, David J. Hand:
Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification. 139-166 - Tong Tong Wu, Yichao Wu:
Nonlinear vertex discriminant analysis with reproducing kernels. 167-176
Volume 5, Number 3, June 2012
- Edward J. Wegman:
Special issue of statistical analysis and data mining. 177
- Carey E. Priebe, Jeffrey L. Solka, David J. Marchette, Avory C. Bryant:
Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the Potential for Collaboration at the Interface. 178-186 - Zhiliang Ma, David J. Marchette, Carey E. Priebe:
Fusion and inference from multiple data sources in a commensurate space. 187-193 - Jian Zou, Alan F. Karr, David Banks, Matthew J. Heaton, Gauri Datta, James Lynch, Francisco Vera:
Bayesian methodology for the analysis of spatial-temporal surveillance data. 194-204 - Courtney D. Corley, Robert M. Farber, William N. Reynolds:
Thought leaders during crises in massive social networks. 205-217 - Abel Rodríguez:
Modeling the dynamics of social networks using Bayesian hierarchical blockmodels. 218-234 - David A. Johannsen, David J. Marchette:
Betti numbers of graphs with an application to anomaly detection. 235-242
Volume 5, Number 4, August 2012
- Michael Salter-Townshend, Arthur J. White, Isabella Gollini, Thomas Brendan Murphy:
Review of statistical network analysis: models, algorithms, and software. 243-264
- Geng Li, Murat Semerci, Bülent Yener, Mohammed J. Zaki:
Effective graph classification based on topological and label attributes. 265-283 - Esther Galbrun, Pauli Miettinen:
From black and white to full color: extending redescription mining outside the Boolean world. 284-303 - Brian McWilliams, Giovanni Montana:
Multi-view predictive partitioning in high dimensions. 304-321 - Maria Rosaria D'Esposito, Francesco Palumbo, Giancarlo Ragozini:
Interval Archetypes: A New Tool for Interval Data Analysis. 322-335 - Jeongyoun Ahn, Muliang Peng, Cheolwoo Park, Yongho Jeon:
A resampling approach for interval-valued data regression. 336-348 - Daniel Peña, Júlia Viladomat, Ruben H. Zamar:
Nearest-neighbors medians clustering. 349-362
Volume 5, Number 5, October 2012
- Arthur Zimek, Erich Schubert, Hans-Peter Kriegel:
A survey on unsupervised outlier detection in high-dimensional numerical data. 363-387
- Richard Emilion:
Unsupervised classification and analysis of objects described by nonparametric probability distributions. 388-398 - Qingzhao Yu, Bin Li, Zhide Fang, Lu Peng:
Model guided adaptive design and analysis in computer experiment. 399-409 - Chandrika Kamath, Ya-Ju Fan:
Using data mining to enable integration of wind resources on the power grid. 410-427 - Yue Han, Lei Yu:
A variance reduction framework for stable feature selection. 428-445 - Xianshu Zhu, Tushar Mahule, Haimonti Dutta, Sugandha Arora, Hillol Kargupta, Kirk D. Borne:
Peer-to-peer distributed text classifier learning in PADMINI. 446-462 - Anna Fowler, Nicholas A. Heard:
On two-way Bayesian agglomerative clustering of gene expression data. 463-476
Volume 5, Number 6, December 2012
- Joseph S. Verducci:
Prize Winning Papers on Statistical Learning and Data Mining. 477
- Georg M. Goerg:
Testing for white noise against locally stationary alternatives. 478-492 - Wonyul Lee, Ying Du, Wei Sun, David Neil Hayes, Yufeng Liu:
Multiple Response Regression for Gaussian Mixture Models with Known Labels. 493-508 - Xiangxin Zhu, Max Welling, Fang Jin, John S. Lowengrub:
Predicting simulation parameters of biological systems using a Gaussian process model. 509-522 - Yiping Yuan, Xiaotong Shen, Wei Pan:
Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs. 523-530
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