PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Locuratolo E. I. Preservation of database concepts: from data mining to concept theory. Tariq Ashraf, Naresh Kumar (eds.). (Advances in Library and Information Science (ALIS) Book Series). Hershey PA, USA: IGI Global, 2017.
 
 
Abstract
(English)
The algorithm for the integration of classes/concepts which results in an ontology suitable for the preservation of database vlasses/concepts is described. It has been designed by means of original research at the boundary between mathematics, computer science and concept theory. The input conceptual graph of this algorithm is determined as a solution of a data mining problem, which has been approached as inverse mapping of conceptual database design. Similarities and differences are discussed between an algorithm formalized in concept theory, which is not suitable for implementation, and the algorithm for the integration of classes/concepts, which exploits the benefits of database notations.
URL: http://www.igi-global.com/gateway/chapter/172610
DOI: 10.4018/978-1-5225-1653-8.ch001
Subject Database Partitioning
Algorithms
Correctness
Completeness
Class/concept completeness
G.2.2 DISCRETE MATHEMATICS. Graph Algorithms
D.2.2 SOFTWARE ENGINEERING. Data Mapping
I.5.2 PATTERN RECOGNITION. Design Methodology
68 Computer Science


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