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There are 101879 results for: content related to: Erratum: Emerging Topics and Challenges for Statistical Analysis and Data Mining

  1. Emerging topics and challenges for statistical analysis and data mining

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 4, Issue 1, February 2011, Pages: 3–8, Arnold Goodman

    Version of Record online : 13 JAN 2011, DOI: 10.1002/sam.10107

    Corrected by:

    Erratum: Erratum: Emerging Topics and Challenges for Statistical Analysis and Data Mining

    Vol. 4, Issue 3, 353, Version of Record online: 31 MAR 2011

  2. Scalable, asynchronous, distributed eigen monitoring of astronomy data streams

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 4, Issue 3, June 2011, Pages: 336–352, Kanishka Bhaduri, Kamalika Das, Kirk Borne, Chris Giannella, Tushar Mahule and Hillol Kargupta

    Version of Record online : 31 MAR 2011, DOI: 10.1002/sam.10120

  3. Integrating database knowledge and epidemiological design to improve the implementation of data mining methods that evaluate vaccine safety in large healthcare databases

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 7, Issue 5, October 2014, Pages: 337–351, 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 and on behalf of the Vaccine Safety Datalink project

    Version of Record online : 19 AUG 2014, DOI: 10.1002/sam.11232

  4. Peer-to-peer distributed text classifier learning in PADMINI

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 5, October 2012, Pages: 446–462, Xianshu Zhu, Tushar Mahule, Haimonti Dutta, Sugandha Arora, Hillol Kargupta and Kirk Borne

    Version of Record online : 21 AUG 2012, DOI: 10.1002/sam.11155

  5. A survey on unsupervised outlier detection in high-dimensional numerical data

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 5, October 2012, Pages: 363–387, Arthur Zimek, Erich Schubert and Hans-Peter Kriegel

    Version of Record online : 27 AUG 2012, DOI: 10.1002/sam.11161

  6. Data mining tools

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

    Volume 1, Issue 5, September/October 2011, Pages: 431–443, Ralf Mikut and Markus Reischl

    Version of Record online : 9 MAR 2011, DOI: 10.1002/widm.24

  7. Effective graph classification based on topological and label attributes

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 4, August 2012, Pages: 265–283, Geng Li, Murat Semerci, Bülent Yener and Mohammed J. Zaki

    Version of Record online : 12 JUN 2012, DOI: 10.1002/sam.11153

  8. Summarizing and understanding large graphs

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 8, Issue 3, June 2015, Pages: 183–202, Danai Koutra, U Kang, Jilles Vreeken and Christos Faloutsos

    Version of Record online : 18 MAY 2015, DOI: 10.1002/sam.11267

  9. Using data mining to enable integration of wind resources on the power grid

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 5, October 2012, Pages: 410–427, Chandrika Kamath and Ya Ju Fan

    Version of Record online : 17 SEP 2012, DOI: 10.1002/sam.11164

  10. Review of statistical network analysis: models, algorithms, and software

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 4, August 2012, Pages: 243–264, M. Salter-Townshend, A. White, I. Gollini and T. B. Murphy

    Version of Record online : 3 MAY 2012, DOI: 10.1002/sam.11146

  11. Text mining in computational advertising

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 6, Issue 4, August 2013, Pages: 273–285, Jacopo Soriano, Timothy Au and David Banks

    Version of Record online : 25 JUN 2013, DOI: 10.1002/sam.11197

  12. Data Mining Basics

    Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals

    Paulraj Ponniah, Pages: 399–427, 2002

    Published Online : 23 APR 2002, DOI: 10.1002/0471221627.ch17

  13. Eigen-analysis of nonlinear PCA with polynomial kernels

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 6, Issue 6, December 2013, Pages: 529–544, Zhiyu Liang and Yoonkyung Lee

    Version of Record online : 11 DEC 2013, DOI: 10.1002/sam.11211

  14. A predictive framework for modeling healthcare data with evolving clinical interventions

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 8, Issue 3, June 2015, Pages: 162–182, Santu Rana, Sunil Gupta, Dinh Phung and Svetha Venkatesh

    Version of Record online : 10 APR 2015, DOI: 10.1002/sam.11262

  15. Minimizing the variance of cluster mixture models for clustering uncertain objects

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 6, Issue 2, April 2013, Pages: 116–135, Francesco Gullo, Giovanni Ponti and Andrea Tagarelli

    Version of Record online : 19 NOV 2012, DOI: 10.1002/sam.11170

  16. A graph-based approach to find teleconnections in climate data

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 6, Issue 3, June 2013, Pages: 158–179, Jaya Kawale, Stefan Liess, Arjun Kumar, Michael Steinbach, Peter Snyder, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova and Fredrick Semazzi

    Version of Record online : 17 APR 2013, DOI: 10.1002/sam.11181

  17. Data Mining Research: Current Status and Future Opportunities

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 1, Issue 2, June 2008, Pages: 104–107, Haym Hirsh

    Version of Record online : 20 FEB 2008, DOI: 10.1002/sam.10003

  18. Mining Compressing Sequential Patterns

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 7, Issue 1, February 2014, Pages: 34–52, Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin and Toon Calders

    Version of Record online : 23 MAY 2013, DOI: 10.1002/sam.11192

  19. Predicting simulation parameters of biological systems using a Gaussian process model

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 6, December 2012, Pages: 509–522, Xiangxin Zhu, Max Welling, Fang Jin and John Lowengrub

    Version of Record online : 30 NOV 2012, DOI: 10.1002/sam.11163

  20. FS3: A sampling based method for top-k frequent subgraph mining

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 8, Issue 4, August 2015, Pages: 245–261, Tanay Kumar Saha and Mohammad Al Hasan

    Version of Record online : 27 JUL 2015, DOI: 10.1002/sam.11277