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- W2171266161 abstract "Abstract Because the world with its markets, innovations, and customers is changing faster than ever before, the key to survival for businesses is the ability to detect, assess, and respond to changing conditions timely and intelligently. Understanding changes and reacting to or acting upon them therefore become a strategic issue not only for companies but also in many other domains. The corresponding need for knowledge has been answered by data mining research by proposing a multitude of methods for analyzing different aspects of change. This article provides an overview of recent works on methods for change analysis, thereby focusing on contrast mining and change mining, the two emerging subfields of contemporary data mining research. © 2011 John Wiley & Sons, Inc. WIREs Data Mining Knowl Discov 2011 1 215–230 DOI: 10.1002/widm.27 This article is categorized under: Algorithmic Development > Spatial and Temporal Data Mining Technologies > Association Rules Technologies > Structure Discovery and Clustering" @default.
- W2171266161 created "2016-06-24" @default.
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- W2171266161 date "2011-04-05" @default.
- W2171266161 modified "2023-10-16" @default.
- W2171266161 title "Contrast and change mining" @default.
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- W2171266161 doi "https://doi.org/10.1002/widm.27" @default.
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