'Functional dependency' presentation slideshows

Spring 2011 Instructor: Hassan Khosravi

Design Theory for Relational Databases. Spring 2011 Instructor: Hassan Khosravi. Chapter 3: Design Theory for Relational Database. 3.1 Functional Dependencies 3.2 Rules About Functional Dependencies 3.3 Design of Relational Database Schemas 3.4 Decomposition: The Good, Bad, and Ugly

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Final Exam Revision 4

1.3k views • 104 slides

Data Mining Chapter 9 Moving on: Applications and Beyond

Data Mining Chapter 9 Moving on: Applications and Beyond. Kirk Scott. So-called machine learning is a broad topic with many ramifications Data mining is just an applied subset of this overall field

849 views • 71 slides

Chapter 7

Chapter 7. Normalization. Chapter 14 & 15 in Textbook. Database Design. Steps in building a database for an application:. Real-world domain. Conceptual model. DBMS data model. Create Schema (DDL). Modify data (DML). How to produce a good relation schema?.

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Chapter 13

825 views • 52 slides

Chapter 7: Relational Database Design

Chapter 7: Relational Database Design. Chapter 7: Relational Database Design. First Normal Form Pitfalls in Relational Database Design Functional Dependencies Decomposition Boyce-Codd Normal Form Third Normal Form Multivalued Dependencies and Fourth Normal Form

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Relational Database Design

Relational Database Design. Relational Database Design. Each relation schema consists of a number of attributes Database schema consists of a number of such relation schemas Relational database design ultimately produces a set of relations

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Unit 7 Normalization ( ????? )

Unit 7 Normalization ( ????? ). PART II: ??? ?? ( Database Design ). ??????? ? ???? : ?????????? DBMS ?????????????????????? ?? ?? - ???? (Entity-Relationship Model, ?? E-R Model) ?????????????????? E-R Model ??????????????????????????????????????? ??

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Chapter 13

Chapter 13. Normalization Transparencies. Chapter 13 - Objectives. The purpose of normalization. The problems associated with redundant data. The identification of various types of update anomalies such as insertion, deletion, and modification anomalies.

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Lecture 5 Term 2

Lecture 5 Term 2. Normalization . Overview . One of the principal objectives of RDBMS is to ensure that each item of data is only held once in the database. Minimise the amount of space required to hold the database Simplify the maintenance of data. Branch. Staff. Primary Key.

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Discussion of Conditional Functional Dependencies

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Normalisation Introduction

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Disability, Dementia and the Future Costs of Long-Term Care

Disability, Dementia and the Future Costs of Long-Term Care. Adelina Comas-Herrera In collaboration with Raphael Wittenberg, Linda Pickard, Derek King, Juliette Malley and other colleagues Personal Social Services Research Unit London School of Economics and Political Science

427 views • 24 slides

Introduction to Normalization

Introduction to Normalization. CPSC 356 Database Ellen Walker Hiram College. Building a Schema. Start with a list of all attributes, considered as if you had a giant flat database (one relation) with all possible information in one place Divide the attributes into multiple relations

295 views • 22 slides

Multimedia Database Schema Design

Multimedia Database Schema Design. Jianguo Huo. Outline. MMDB Design Issues Multimedia Data Types Features and Similarity Functions M-Dependencies Normalization Evaluation. MMDB Design Issues. Requirements for the MMDB

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Multimedia Database Schema Design

Multimedia Database Schema Design. Jianguo Huo. Outline. MMDB Design Issues Multimedia Data Types Features and Similarity Functions M-Dependencies Normalization Evaluation. MMDB Design Issues. Requirements for the MMDB

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Minggu 10, Pertemuan 20 Normalization (cont.)

Minggu 10, Pertemuan 20 Normalization (cont.). Matakuliah : T0206-Sistem Basisdata Tahun : 2005 Versi : 1.0/0.0. Learning Outcomes. Pada akhir pertemuan ini, diharapkan mahasiswa dapat mendemonstrasikan proses normalisasi dalam menyusun logical data model (C3). Outline Materi.

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Hobby Schema

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Computing Closure of F

Computing Closure of F. We could test for whether a relation scheme is in BCNF, if we could compute the closure of F. Closure of F can be computed using the Armstrongs Axioms. Not very practical since the size of F+ can be really very large. Example:

463 views • 4 slides

Tracking Web provenance with Swoogle

Tracking RDF Graph Provenance using RDF Molecules. Li Ding, Tim Finin, Yun Peng and Anupam Joshi University of Maryland, Baltimore County. Paulo Pinheiro da Silva and Deborah L. McGuinness Stanford University. The Semantic Web knowledge onion. The role of RDF molecule in tracking provenance.

135 views • 1 slides