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Interested in Data Mining?   Hot Papers | Don’t Have Access? | WIREs | More Data Mining Journals Stay Ahead | Free Website | Books | Join Us Online     Statistical Analysis and Data Mining addresses the broad area of data analysis, including data mining algorithms, statistical approaches, and practical applications. Topics include problems involving massive and complex datasets, solutions utilizing innovative data mining algorithms and/or novel statistical approaches, and the objective evaluation of analyses and solutions.   Ensure you don’t miss out on the latest research from Statistical Analysis and Data Mining           Have You Read these Hot Papers?    Most Accessed Papers Emerging topics and challenges for statistical analysis and data mining  Arnold Goodman Significant motifs in time series  Nuno C. Castro, Paulo J. Azevedo The forecast for predictive analytics: hot and getting hotter  James Goodnight     Most Cited Papers Relative clustering validity criteria: A comparative overview  Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka Modeling user reputation in wikis  Sara Javanmardi, Cristina Lopes, Pierre Baldi Seriation and matrix reordering methods: An historical overview  Innar Liiv                 Special Issue Papers Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the Potential for Collaboration at the Interface  Carey E. Priebe, Jeffrey L. Solka, David J. Marchette, Avory C. Bryant Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science  Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly     Review Articles A survey on unsupervised outlier detection in high-dimensional numerical data  Arthur Zimek, Erich Schubert and Hans-Peter Kriegel Review of statistical network analysis: models, algorithms, and software  M. Salter-Townshend, A. White, I. Gollini and T. B. Murphy back to top ▲   Don’t Have Access?     Don’t miss out on top data mining research. Recommend it to your librarian today.   Check out our special rates for society members. back to top ▲   WIREs: Data Mining and Knowledge Discovery      WIREs: Data Mining and Knowledge Discovery Hot Articles! Frequent item set mining  Christian Borgelt Software mining and fault prediction  Cagatay Catal back to top ▲   More Data Mining Journals    Journal of Time Series Analysis   Journal of the Royal Statistical Society: Series B (Statistical Methodology)   Stat Wiley Interdisciplinary Reviews: Computational Statistics   Statistics in Medicine back to top ▲   Stay Ahead with the Latest Data Mining Research    See the latest issues as soon as they publish   Sign up for FREE E-Content Alerting   Setting up e-alerts is as easy as 1, 2, 3...   Login or Register on Wiley Online Library Click here to select the journals you'd like to receive e-alerts from Click 'Get email alerts' once you've selected the journals       back to top ▲   Free Website       StatisticsViews.com – Bringing Statistics Together      Created for professional statisticians, analysts, students, and all users of statistics in interdisciplinary subjects, StatisticsViews.com is the first place to go when looking for any information related to statistical research. Showing exclusive feature articles, journal articles, news, events, webinars, tools and new books all in one place, the site is easy to navigate and regularly updated with new content.   Want to know what was discussed at the ‘Big Data’ Debate at The British Academy? Listen to an exclusive interview here. Register on the site today to receive regular updates about this exciting new resource!   back to top ▲   Books    Visual Data Mining: The VisMiner Approach _ _ _   Statistical and Machine Learning Approaches for Network Analysis _ _ _   Data Mining and Statistics for Decision Making _ _ _   Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, 2nd Edition   Browse our full range of data mining books here back to top ▲   Join Us Online    back to top ▲   You are receiving this commercial e-mail message because you subscribed as [<emailaddr>] to the Wiley e-mail service. 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