Theoretical Information Reuse and Integration
(Sprache: Englisch)
Information Reuse and Integration addresses the efficient extension and creation of knowledge through the exploitation of Kolmogorov complexity in the extraction and application of domain symmetry. Knowledge, which seems to be novel, can more often than not...
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Information Reuse and Integration addresses the efficient extension and creation of knowledge through the exploitation of Kolmogorov complexity in the extraction and application of domain symmetry. Knowledge, which seems to be novel, can more often than not be recast as the image of a sequence of transformations, which yield symmetric knowledge. When the size of those transformations and/or the length of that sequence of transforms exceeds the size of the image, then that image is said to be novel or random. It may also be that the new knowledge is random in that no such sequence of transforms, which produces it exists, or is at least known.The nine chapters comprising this volume incorporate symmetry, reuse, and integration as overt operational procedures or as operations built into the formal representations of data and operators employed. Either way, the aforementioned theoretical underpinnings of information reuse and integration are supported.
Inhaltsverzeichnis zu „Theoretical Information Reuse and Integration “
Reuseand integration of specification logics: the hybridisation perspective.- Test Reactive Systems with Büchi-Automaton-Based Temporal Requirements.- Capturingand Verifying Dynamic Systems Behavior Using UML and pi-calculus.- AReal-time Concurrent Constraint Calculus for Analyzing Avionic Systems Embeddedin the IMA Connected Through TTEthernet.- CaseIndexing by Component, Context and Encapsulation for Knowledge Reuse.- Intelligent DecisionMaking for Customer Dynamics Management Based on Rule Mining and Contrast SetMining A Segmentation Analysis Perspective.- IsData Sampling Required When Using Random Forest for Classification onImbalanced Bioinformatics Data?.- ConcurrentAlignment of Multiple Anonymized Social Networks with Generic Stable Matching.- AnAccurate Multi-sensor Multi-target Localization Method for Cooperating Vehicles.
Bibliographische Angaben
- 2016, 1st ed. 2016, XII, 217 Seiten, 21 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Thouraya Bouabana-Tebibel, Stuart H. Rubin
- Verlag: Springer, Berlin
- ISBN-10: 3319313096
- ISBN-13: 9783319313092
- Erscheinungsdatum: 11.05.2016
Sprache:
Englisch
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