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Titlebook: Data Mining; Special Issue in Ann Robert Stahlbock,Sven F. Crone,Stefan Lessmann Book 2010 Springer-Verlag US 2010 Business Intelligence.Te

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發(fā)表于 2025-3-23 13:22:00 | 只看該作者
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發(fā)表于 2025-3-23 22:39:37 | 只看該作者
Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systemsns in electronic environments. The human interactions are segmented according to the temporal dynamics. Larger behavioral segments – sessions – are divided into smaller segments – subsequences. The observations indicate that users’ attention is primarily focused on the starting and the ending points
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發(fā)表于 2025-3-24 05:25:14 | 只看該作者
Karl H. Hofmann,Paul S. Mostertn the digital as well as the physical world. Today, information systems (IS) holistically support virtually all aspects of corporations and nonprofit institutions, along internal processes from purchasing and operationsmanagement toward sales, marketing, and eventually the customer (horizontally alo
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發(fā)表于 2025-3-24 06:51:02 | 只看該作者
Duality Properties of Profinite Groups marketing, the assumption that the empirical data originate from a single homogeneous population is often unrealistic. When applying a causal modeling approach, such as partial least squares (PLS) path modeling, segmentation is a key issue in coping with the problem of heterogeneity in estimated ca
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https://doi.org/10.1007/978-94-009-7367-1ient implementations based on the antimonotony property of the support. But candidate set generation is still costly and many rules are uninteresting or redundant. In addition one can miss interesting rules like nuggets. We are thus facing a complexity issue and a quality issue..One solution is to g
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發(fā)表于 2025-3-24 21:52:35 | 只看該作者
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