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de5.2.2
de5.2.2

... application programs. It should also be pointed out that the data model is not intended to act as a general purpose model of protein crystallographic data. Another practical issue is that of moving from the abstract representation of the data model to a concrete implementation. This will involve not ...
View PDF - CiteSeerX
View PDF - CiteSeerX

... hiding in data distortion based technique. First is reducing the confidence of rules and second is reducing the support of rules. Verykios et al. [5] proposed five algorithms namely 1.a, 1.b, 2.a, 2.b, 2.c to hide sensitive knowledge of database by reducing support or confidence of sensitive rule. A ...
Chapter 8 - Spatial Database Group
Chapter 8 - Spatial Database Group

... accesses and CPU usage, a weight can be used to combine them into one measure.  The weight is usually close to 0 because many CPU operations can be performed in the time to perform one physical record ...
CS211 Lecture: Persistence; Introduction to Relational Databases
CS211 Lecture: Persistence; Introduction to Relational Databases

... in main memory (RAM) on some computer. This means, of course that those objects "live" only while the program is running, and cease to exist when the program is terminated, either via normal exit or as a result of a system crash, power failure, etc. 1. This is a consequence of the fact that the CPU ...
A Firm Foundation for Private Data Analysis
A Firm Foundation for Private Data Analysis

... consequences. Then every time subsampling occurs some individual suffers horribly. In input perturbation, either the data or the queries are modified before a response is generated. This broad category encompasses a generalization of subsampling, in which the curator first chooses, based on a secret ...
Document
Document

... • Expect some operations need to be retried (e.g. due to transient faults, throttling, etc.)  Avoid long-running queries / split operations into smaller chunks  Make your operations easily restartable ...
Week 14 - California State University, Sacramento
Week 14 - California State University, Sacramento

... – Atomicity (entirety of action) – Consistency (from one consistent state to another) – Isolation (independent of other transactions) – Durability (permanence) ...
Data Models
Data Models

... The object data model was developed in the eighties in order to overcome some limitations of the relational model. It extends the paradigm of object-oriented programming to databases. In object databases, each entity of the real world is represented by an object. In contrast, a real world object is ...
plastic - Database Systems Lab
plastic - Database Systems Lab

... This parameter tells that the control file name is part.ctl. The default control file extension is .ctl, so the parameter needs to specify only the file name in this case. ...
lecture 6
lecture 6

... • To find out what indexes you have, use • select index_name from user_indexes; • USER_INDEXES is another system table just like USER_TABLES. • This can become especially helpful if you forget the names of your indexes and therefore cannot drop them. • You might also see weird names of the indexes ...
Windows Server Configuraton - Western Washington University
Windows Server Configuraton - Western Washington University

... ConnectionString="Data Source=win-vuc09id4k05;Initial Catalog=customers;User ID=Webguest;Password=guest22" DeleteCommand="DELETE FROM [tblCustomers] WHERE [custID] = @custID" InsertCommand="INSERT INTO [tblCustomers] ([name]) VALUES (@name)" ProviderName="System.Data.SqlClient" SelectCommand="SELECT ...
What is a database?
What is a database?

... A set of programs allowing a user to create and maintain databases. ...
CPS221 Lecture: Relational Database Creation and Design Objectives:
CPS221 Lecture: Relational Database Creation and Design Objectives:

... constraint - that we won’t discuss in this course. C. REFERENTIAL INTEGRITY: A principle related to using lossless join decompositions to avoid redundancy is the explicit identification of FOREIGN KEYS. 1. In our lossless join decomposition, what made the decomposition work correctly is that the fir ...
Query-by-Example (QBE)
Query-by-Example (QBE)

...  Attributes of relations are listed vertically, one below the other, instead of horizontally  Instead of using variables, lines (links) between attributes are used to specify that their values should be the same.  Links are added automatically on the basis of attribute name, ...
Normalisation Example2
Normalisation Example2

... – Write each key component on separate line, then write original (composite) key on last line – Each component will become key in new table ...
Data Warehouse Operational Architecture
Data Warehouse Operational Architecture

... self-contained. That is, all the information needed to recreate the uncompressed data in a block is available within that block. The typical compression ratio for large data-warehouse tables ranges from 2:1 to 4:1. The data warehouse must use compression especially for fact partitioned tables and r ...
Fast Vertical Mining Using Diffsets
Fast Vertical Mining Using Diffsets

... i.e., all valid association rules can be found. Note that maximal sets do not have this property, since subset counts are not available. Methods for mining closed sets include the Apriori-based A-Close method [15], the Closet algorithm based on FP-trees [16] and Charm [23]. Most of the previous work ...
First Semester - OrissaSpider.com
First Semester - OrissaSpider.com

... Basic diagram for executing query operations, Using Heuristics in query optimization, Using selectivity and cost estimates in query optimization. Transaction processing concepts – Introduction to transaction processing, Transaction and system concepts, Desirable properties of transaction, Schedules ...
Deadlock Conditions
Deadlock Conditions

... o if no process is in critical section, can decide quickly who enters o only one process can enter the critical section so in practice, others are put on the queue 3. bounded waiting: there must exist a bound on the number of times that other processes are allowed to enter their critical sections af ...
PowerPoint 97
PowerPoint 97

... • An attribute value must match its type. • A primary key must be unique. • A tuple’s foreign key must be of the same type as its “matching” primary key. • To create a record with a given foreign key, a record in the corresponding table must have that value as its primary key. • Many to many relatio ...
Administration of Users
Administration of Users

... Objectives (continued) • List the security risks of linked servers • List the security risks of remote servers • Describe best practices for user administration ...
managing waste elimination database in lean manufacturing
managing waste elimination database in lean manufacturing

... Database is a collection of related tables and other structures (Kroenke and Auer, 2011). Database arises from three sources; which the first database source is from the existing data from spreadsheets, data files and database extracts. Then, second database source is from new system development; wh ...
Association Rule Mining: A Survey
Association Rule Mining: A Survey

... derive the multiple-level association rules under different supports in simple and effective way. Xunwei Zhou and Hong Bao [19] proposed an algorithm for double connective association rule mining for which a three table relational database is used. The rules are found among the primary keys of the t ...
Data Guard - Oracle Software Downloads
Data Guard - Oracle Software Downloads

... Faster switchover and failover times  Reduces planned and unplanned downtime  Better Recovery Time Objective (RTO) for DR ...
Data Management and Database Technologies - Indico
Data Management and Database Technologies - Indico

... to store additional redundant information on disk to optimize query response (indexed views, materialized views, etc.). In this case it is the DBMS software's responsibility to ensure that any redundant copies are kept consistent. ...
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Concurrency control

In information technology and computer science, especially in the fields of computer programming, operating systems, multiprocessors, and databases, concurrency control ensures that correct results for concurrent operations are generated, while getting those results as quickly as possible.Computer systems, both software and hardware, consist of modules, or components. Each component is designed to operate correctly, i.e., to obey or to meet certain consistency rules. When components that operate concurrently interact by messaging or by sharing accessed data (in memory or storage), a certain component's consistency may be violated by another component. The general area of concurrency control provides rules, methods, design methodologies, and theories to maintain the consistency of components operating concurrently while interacting, and thus the consistency and correctness of the whole system. Introducing concurrency control into a system means applying operation constraints which typically result in some performance reduction. Operation consistency and correctness should be achieved with as good as possible efficiency, without reducing performance below reasonable levels. Concurrency control can require significant additional complexity and overhead in a concurrent algorithm compared to the simpler sequential algorithm.For example, a failure in concurrency control can result in data corruption from torn read or write operations.
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