This article discusses the concept of a semantic database in several sections: Discussion of the concept and need for a semantic database Architectural Implications Implementation on top of an RDBMS Unit tests t
While there is a theory of normalization for relational database schemata, a corresponding approach for object-oriented databases does not exist so far. In this paper we present an approach to transform object-oriented class hierarchies into a "normalized" form. Starting with an extensional analysis...
The normalization method is based on a pairwise learning-to-rank technique using the tokens from all mentions as features. DNorm outperformed MetaMap as the baseline. The SemEval 2014 lab addressed the problem of analysis of clinical data in Task 7 [1]. This task was a follow-up to the ...
Neighbouring concepts encountered in included publications are dissemination, diffusion and normalization. Dissemination and diffusion both relate to the transmission of information about an object, with the former being purposive and proactive and the latter being unintentional and passive. Diffusion is descr...
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With this structure, determining all the subgroups would require us to read only one row from the database, instead of 4 rows. For a hierarchy as big as 1000 groups, this could make a huge difference. The reading of the hierarchy problem is solved with this de-normalization. However, we...
In the case of real-world data streams, the underlying data distribution will not be static; it is subject to variation over time, which is known as the primary reason for concept drift. Concept drift poses severe problems to the accuracy of a model in o
Feature Normalization, Feature Selection, Feature Transformation, Feature Extraction, Ensemble Classifier, Base Classifier, Backward Feature Removal and Validation. The Feature Normalization guarantees that the values of all variables are in the same range. The Feature Selection is applied to select the in...
By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection. See our privacy policy for more information on the use of your perso...
A concept hierarchy is defined as a sequence of mappings from lower-level concepts to higher-level, more general concepts. It organizes data into a structured order, allowing for varying levels of abstraction within a database schema. AI generated definition based on: Data Mining (Third Edition)...