Metode Schema Matching berbasis Linguistic dan Constraint untuk Integrasi Database di Sekolah

Klasifikasi Data Cardiotocography Dengan Integrasi Metode Neural Network Dan Particle Swarm Optimization

Backpropagation (BP) adalah sebuah metode yang digunakan dalam training Neural Network (NN) untuk menentukan parameter bobot yang sesuai. Proses penentuan parameter bobot dengan menggunakan metode backpropagation sangat dipengaruhi oleh pemilihan nilai learning rate (LR)-nya. Penggunaan nilai learning rate yang kurang optimal berdampak pada waktu komputasi yang lama atau akurasi klasifikasi yan...

Constraint - Based Schema Matching

Database Conceptual Schema Matching

Schema matching is a critical step in integration of heterogeneous data sources. properties and/or include other concepts and having Database. a novel, semi-automated and generic schema matching process. Prison Break solves the established practice (5), widely used for database migration and ontology where similar domain concepts may not be be identifiable via linguistic. Database / Oracle Data...

Conceptual Model Database Schema Matching

The following document gives advice how to formulate schema matching definitions from any schema to CIDOC CRM : Model. EDM includes some concepts from ORE and from Dublin Core. See also : The Europeana Data Model (EDM). Automated Co-evolution of Conceptual Models, Physical Databases, and Mappings. ER 2010: 146A survey of approaches to automatic schema matching. EITH–A unifying representation fo...

Fuzzy Constraint-based Schema Matching Formulation

The deep Web has many challenges to be solved. Among them is schema matching. In this paper, we build a conceptual connection between the schema matching problem SMP and the fuzzy constraint optimization problem FCOP. In particular, we propose the use of the fuzzy constraint optimization problem as a framework to model and formalize the schema matching problem. By formalizing the SMP as a FCOP,...