Titlebook: Innere-Punkte-Verfahren mit Redundanzerkennung für die Quadratische Optimierung; Philipp Schade Book 2008 Gabler Verlag | Springer Fachmed

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d other domains. Data warehouses help in modeling and mining large amounts of data from heterogeneous sources over an extended period of time. However incorporating spatial data into data warehouses leads to several challenges in data modeling, management and the mining of spatial information. New m

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tworks, are modeled as graphs. To answer the surge for graph data management, many graph database solutions were developed. These databases are commonly classified as NoSQL graph databases, and they provide better support for graph data management than their relational counterparts. However, each of

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or classification. According to our observation on real data, the distribution of attributes with respect to information gain is very sparse because only a few attributes are major discriminating attributes where a discriminating attribute is an attribute, by whose value we are likely to distinguish

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oundations of data mining has recently been recognized to be even greater concern to data mining..One promising candidate to form a solid basis for data mining is known as inductive databases. The inductive databases are databases with a tight integration to data mining facilities. However, it is no

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