NIL
发表于 2025-3-27 00:49:22
https://doi.org/10.1007/978-1-4612-4970-2-KDD defines the most essential entities for describing data mining investigations in the context of KD in a two-layered ontological structure. The ontology is aligned and reuses state-of-the-art resources for representing scientific investigations, such as Information Artifact Ontology (IAO) and On
伴随而来
发表于 2025-3-27 01:56:02
W. Fisher Cassie,T. Constantinetional database into a corpus of documents. Wordification aims at producing simple, easy to understand features, acting as words in the transformed Bag-Of-Words representation. As in other propositionalization methods, after the wordification step any propositional data mining algorithm can be appli
悬崖
发表于 2025-3-27 09:12:14
https://doi.org/10.1007/978-3-663-05106-0en a significant amount of work on the development of learning algorithms for LR in recent years, pre-processing methods for LR are still very scarce. However, some methods, like Naive Bayes for LR and APRIORI-LR, cannot deal with real-valued data directly. As a make-shift solution, one could consid
皮萨
发表于 2025-3-27 12:31:26
Legistische Richtlinien in Österreichan important role in receiving the information and passing it to other nodes. We mathematically formulate this as a difference maximization problem in the average influence degree with respect to a node removal, ., a node that contributes to making the difference large is influential. We further cha
Lasting
发表于 2025-3-27 16:46:16
Studien zu einer Theorie der Gesetzgebung . and .. We propose the SM2D modular data driven approach that provides predictive models for each sub-process of a global hydrological process. We show that this solution improves the predictive accuracy regarding a global approach. The originality of our proposition is threefold: (1) the predicti
不公开
发表于 2025-3-27 21:24:19
Ein Rechtsinformationssystem für Österreich for exact learning of chain event graphs from multivariate data. While the exact algorithm is slow, it allows reasonably fast approximations and provides clues for implementing more scalable heuristic algorithms.
明确
发表于 2025-3-28 01:35:05
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paradigm
发表于 2025-3-28 05:33:00
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dainty
发表于 2025-3-28 06:24:02
https://doi.org/10.1007/978-3-663-15806-6isolating a group of outliers, i.e. rare events representing micro-clusters of less – or significantly less – than 1% of the whole dataset. This research issue is critical for example in medical applications. The problem is difficult to handle as it lies at the frontier between outlier detection and
Frenetic
发表于 2025-3-28 12:10:47
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