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Titlebook: Advanced Methods for Knowledge Discovery from Complex Data; Sanghamitra Bandyopadhyay,Ujjwal Maulik,Diane J. C Book 2005 Springer-Verlag L

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發(fā)表于 2025-3-28 15:58:42 | 只看該作者
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發(fā)表于 2025-3-28 20:16:12 | 只看該作者
J. M. Graham,H. Ahmed,T. C. Northfieldxplicit or implicit relationship that exists between the objects. Links among the objects demonstrate certain patterns, which can be helpful for many machine learning tasks and are usually hard to capture with traditional statistical models. Recently there has been a surge of interest in this area,
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發(fā)表于 2025-3-29 01:02:54 | 只看該作者
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發(fā)表于 2025-3-29 05:33:35 | 只看該作者
Damien Bazin,Ludovic Julien,Olivier Musy, we propose an Apriori-based algorithm for mining association rules (AR) from RDF documents. We treat relations (RDF statements) as items in traditional AR mining to mine associations among relations. The algorithm further makes use of a domain ontology to provide generalization of relations. To ob
45#
發(fā)表于 2025-3-29 09:39:02 | 只看該作者
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發(fā)表于 2025-3-29 13:18:02 | 只看該作者
Algorithms for Linear Bilevel Optimizationstems (IDPSs) is an essential task for protecting cyber security as well as physical security because of the great dependence on networked computers for the operational control of various infrastructures..Building effective intrusion detection systems (IDSs), unfortunately, has remained an elusive g
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發(fā)表于 2025-3-29 19:10:40 | 只看該作者
48#
發(fā)表于 2025-3-29 23:25:40 | 只看該作者
Algorithms for Linear Bilevel Optimizationges in streaming data mining are as follows: since streams may flow in and out indefinitely and at fast speed, it is usually expected that a stream-mining process can only scan a data stream once; and since the characteristics of the data may evolve over time, it is desirable to incorporate the evol
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發(fā)表于 2025-3-30 01:30:54 | 只看該作者
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發(fā)表于 2025-3-30 06:40:02 | 只看該作者
Advanced Information and Knowledge Processinghttp://image.papertrans.cn/a/image/145934.jpg
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