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DN31766773
DN31766773

... SIMS uses a global domain model that also can be called a global ontology. The work presented in [6], classifies SIMS as a single ontology approach. An independent model of each information source must be described for this system, along with a domain model that must be defined to describe objects a ...
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... given item set (item set violates the rule) if the set contains X, but does not contain Y. Each rule has two measures of its ...
Introducing Databases - Department of Computer and Information
Introducing Databases - Department of Computer and Information

... • When we process data, we connect sets of data to make meaningful information. • For instance, if we connect the value 85215 to the value "Tax Preparation – 1040 (Schedule C)", we're probably able to discern that the value 85215 is a code that represents some type of billable service – tax preparat ...
Essentials of Management Information Systems Chapter 7
Essentials of Management Information Systems Chapter 7

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A Definition of Database Design Standards for Human Rights

... including perpetrator, victims, witness, and lawyer, do not define entities but roles that persons play in particular acts. More generally, the same person might act many roles. This logic means that the concept to be represented as an entity is the person rather than the role the person might be pl ...
Self-test Database application programming with JDBC
Self-test Database application programming with JDBC

... This test is based on subjects handled in the ABIS course Data base application programming with JDBC. This test consists of multiple-choice questions. With some questions, multiple correct answers are possible. Write down your answer(s) and compare with the given solutions. This test contains 20 qu ...
Informatica Map/Session Tuning Covers basic, intermediate, and
Informatica Map/Session Tuning Covers basic, intermediate, and

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... Finding Frequent Itemsets – The Apriori algorithm The most important part of the mining process is to find all itemsets with minimum support s in the database D. Apriori is an influential algorithm for this task It is based on the following observation: an itemset l = {i1,i2,…,in} can be frequent, ...
Data Access with SQL Server 2005 Mobile Edition and the
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... Logged audit events are rarely reviewed because the data are cryptic and too voluminous to be useful. There is no easy-to-use-reporting tool for filtering out irrelevant audit events or drilling down for more detail about suspicious activities. This also complicates the process of purging excess aud ...
Collection and Exploration of Large Data - Luca Deri
Collection and Exploration of Large Data - Luca Deri

... but at the same time flow dump to database is usually activated only for small sites. The reason is that enabling database support could lead to flow records loss due to the database processing overhead. This is mostly caused by network latency and multiuser database access, slow-down caused by tabl ...
Performance Considerations for the Database Engines
Performance Considerations for the Database Engines

... You have two tables in your DBMS that need to be combined in order to produce a report. The first table is the 10000 rows defined in The Data section earlier in this paper. The second contains a degree number and the name of the degree. You want to join the two tables and print the degree name along ...
Parallel Database
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dataset Documentation

... • database is a database URI, including the database type, username and password, hostname and database name. Valid database types include sqlite, mysql and postgresql (requires psycopg2). • prefix specifies a common root directory for all extracted files. • format identifies the format to be genera ...
Managing the Digital Firm
Managing the Digital Firm

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Interface Servers - The RFID Ecosystem Project
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Java DATABASE CONNECTIVITY JDBC
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Introduction to Large Databases and Data Mining
Introduction to Large Databases and Data Mining

... The
R
and
Weka
sobware
both
have
a
large
community
which
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to
extending
their
func)onality
through
the
development
 of
new
add‐on
packages.
Further
R
and
Weka
can
be
interfaced
via
the
 RWeka
package.
There
are
many
excellent
on‐line
tutorials
for
these
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and
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itself
is
well
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Database redesign
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Michał Kwiatek – CERN /IT-DES Performance Optimization and
Michał Kwiatek – CERN /IT-DES Performance Optimization and

... convert the key value into a database block address, thus bypassing all I/O except for the block read itself. Optimally, there will be one logical I/O used to perform a lookup. ...
sql database server architectures
sql database server architectures

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... onto two different storage systems as they occur • Some DBMS will automatically implement mirroring • Can also be implemented at the application level – Create two connection objects to different DB – Execute each Update/Insert/Delete against both connections – Only query one – Second copy is availa ...
What's New with Visual Studio 2005 and ASP.NET 2.0
What's New with Visual Studio 2005 and ASP.NET 2.0

... commands to be parameterized Example: Get value for WHERE clause in SelectCommand from query string parameter or item selected in drop-down list Example: Get value for WHERE clause in DeleteCommand from GridView ...
Going Beyond Simple Information Maps to Improve Access to Data Sources
Going Beyond Simple Information Maps to Improve Access to Data Sources

... SAS side. If there is only one table to query from, then the Libname Engine has no issue; it sends a single query to the database. The Libname Engine can be fooled into thinking it’s accessing a single table through a database view. One can request that a DBA add a view to the source database. This ...
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Entity–attribute–value model

Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In mathematics, this model is known as a sparse matrix. EAV is also known as object–attribute–value model, vertical database model and open schema.
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