Relational Database Design
Purpose of Normalization
Anomalies
Functional Dependencies
Normalization
Keys
SuperKey
a set of attributes whose values together uniquely identify a tuple in a relation
Candidate Key
a superkey for which no proper subset is a superkey…a key that is minimal .
Can be more than one for a relation
Primary Key
a candidate key chosen to be the main key for the relation.
One for each relation
Keys can be composite
Normalization
Nor ....etc

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Documentation for Design and implementation of an intrusion response system for relational databases ....etc

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Abstract—Information extraction systems are traditionally implemented as a pipeline of special-purpose processing modules targeting the extraction of a particular kind of information. A major drawback of such an approach is that whenever a new extraction goal emerges or a module is improved, extraction has to be reapplied from scratch to the entire text corpus even though only a small part of the corpus might be affected. In this paper, we describe a novel approach for information extraction in which extraction needs are expressed in the form ....etc

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On-line Analytical Processing (OLAP) has become a fundamental component of contemporary decision support systems and represents a means by which knowledge workers can efficiently analyze vast amounts of organizational data. Within the OLAP context, one of the more interesting recent themes has been the computation and manipulation of the data cube, a relational model that can be used to represent summarized multi-dimensional views of massive data warehousing archives.

Over the past five or six years a number of efficient sequential algo ....etc

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Fragile Watermarking Scheme for Relational Database


Existing System

Database integrity has long been considered one of the three pillars in the database security arena, together with authentication and authorization (access control).

But the research of database integrity mainly focuses on semantic integrity constraints, which are rules defining the correct states of the database. Traditional approaches use verification information such as message authentic ....etc

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1. Incremental Information Extraction Using RelationalDatabasesABSTRACT: Information extraction systems are traditionally implemented as a pipeline ofspecial-purpose processing modules targeting he extraction of a particular kind ofinformation. A major drawback of such an approach is that whenever a newextraction goal emerges or a module is improved, extraction has to be reappliedfrom scratch to the entire text corpus even though only a small part of the corpusmight be affected. In this paper, we describe a novel approach for informationextract ....etc

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Abstract
In this paper the various tactics for query processing in INGRESS are empirically evaluated on a test bed of sample queries.
1. Introduction
In Ref. 5 we presented a general strategy for query processing known as decomposition, which had been designed for the nonprocedural query language QUEL2 and was in the process of being implemented in the relational database management system INGRESS. 4 In this approach the problem of dealing with a multi-relational query is separated into two
stages. First, a query which refere ....etc

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Incremental Information Extraction
Using Relational Databases
....etc

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On-line Analytical Processing (OLAP) has become a fundamental component of contemporary decision support systems and represents a means by which knowledge workers can efficiently analyze vast amounts of organizational data. Within the OLAP context, one of the more interesting recent themes has been the computation and manipulation of the data cube, a relational model that can be used to represent summarized multi-dimensional views of massive data warehousing archives.

Over the past five or six years a number of efficient sequential algo ....etc

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sir , i want complete documentation of mini project on student database management system ....etc

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