Buch, Englisch, Band 446, 217 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 3577 g
Buch, Englisch, Band 446, 217 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 3577 g
Reihe: Advances in Intelligent Systems and Computing
ISBN: 978-3-319-31309-2
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Reuse
and integration of specification logics: the hybridisation perspective.- Test Reactive Systems with Büchi-Automaton-Based Temporal Requirements.- Capturing
and Verifying Dynamic Systems Behavior Using UML and p-calculus.- A
Real-time Concurrent Constraint Calculus for Analyzing Avionic Systems Embedded
in the IMA Connected Through TTEthernet.- Case
Indexing by Component, Context and Encapsulation for Knowledge Reuse.- Intelligent Decision
Making for Customer Dynamics Management Based on Rule Mining and Contrast Set
Mining A Segmentation Analysis Perspective.- Is
Data Sampling Required When Using Random Forest for Classification on
Imbalanced Bioinformatics Data?.- Concurrent
Alignment of Multiple Anonymized Social Networks with Generic Stable Matching.- An
Accurate Multi-sensor Multi-target Localization Method for Cooperating Vehicles.
