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Titlebook: Advances in Data Mining: Applications and Theoretical Aspects; 15th Industrial Conf Petra Perner Conference proceedings 2015 Springer Inter

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Schlussbetrachtungen und Implikationen,t rather than mass marketing. We have analyzed a supermarket chain company, which has 73 stores located in the Istanbul area in Turkey. First, stores are segmented in 5 clusters using a hierarchical clustering method and then association rules are applied for each cluster.
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Konfliktregelung durch Category Management, different time points of life. So far, we have applied decision trees and other classification algorithms like random forest and support vector machines on rather small data sets. Furthermore, feature selection was used to support the genes and biomarkers generated by decision trees.
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Sten Kaijser,Joan Wick Pelletiert, we use sensor fusion on the low-level hardware sensors to get robust information about the device state. Second, we use a new model-based and self-learning anomaly detection method on the diagnosis data of all ATM devices to robustly detect anomalies in the system that might indicate an attack on the machine.
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Conference proceedings 2015July 2015..The 16 revised full papers presented were carefully reviewed and selected from numerous submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture, and in process control, indu
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Limit spaces and closed span categories, the representation of record values as distributions rather than point-values in the stream setting, covering a larger part of the instance space early on, and resulting in an often smaller, more flexible classification model.
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