... used to represent impreciseness in data values. One of the concepts used to model
imprecise and uncertain information are fuzzy numbers and fuzzy quantities. As it
is well known fuzzy numbers and quantities are used to model information of type
“approximately 10” and “tall people”. In this paper we ...
... If you don't virtualize the Relativity roles, there will likely be a mirrored array housing the OS and
required Relativity components (unless you’re also booting from the storage device). If these disks are
heavily fragmented, roles including the web servers (IIS) may experience poor performance. Th ...
... even be situated at the LBS provider endpoint.
One popular cloaking technique is based on the principle of k -anonymity,
where a user is hidden among k-1 other users. Queries from multiple users are
typically aggregated at an anonymity server which forms an intermediary between the user and the LBS ...
... SQL is based on set and relational operations with certain
modifications and enhancements
A typical SQL query has the form:
SELECT
FROM
{WHERE }
{GROUP BY }
{HAVING }
{ORDER BY
... its attributes to be of complex types such as another database object, tables having attributes with type of new product do not need to change in structure, but
only the new product object schema is also created. The attribute “new product”
can be a set of new product classes whereby members of this ...
... For most queries, the asterisk (*) should not be used to specify
column names. In general, you process results by knowing in
advance the order of the columns in the result—for example,
selecting authorID and lastName from table authors ensures
that the columns will appear in the result with authorID ...
... MATLAB’s extensive set of tools to work with the data. You can include
Database Toolbox functions in MATLAB M-files. To export the data from
MATLAB to a database, you use MATLAB functions.
The Database Toolbox also comes with the Visual Query Builder (VQB), an
easy-to-use graphical user interface fo ...
... XML is commonly supported by SQL database systems. However, existing
mappings of XML to tables can only deliver satisfactory query performance for
limited use cases. In this paper, we propose a novel mapping of XML data into one
wide table whose columns are sparsely populated. This mapping provides ...
... After completing this lesson, you should be able to do
the following:
• Describe how Java applications connect to the
database
• Describe how Java database functionality is
supported by the Oracle database
• Load and register a JDBC driver
• Connect to an Oracle database
• Follow the steps to execut ...
... using positional, named, or mixed notation
Prior to Oracle Database 11g, only the positional notation is
supported in calls from SQL
Starting in Oracle Database 11g, named and mixed notation
can be used for specifying arguments in calls to PL/SQL
subroutines from SQL statements
For long parameter li ...
... In such a case, the (weak) entity typically has a subset of attributes, called a
discriminator (or partial key), that distinguishes among all entities of the weak
entity set associated with one identifying entity.
...
... following example creates a new table called tblAmigo.
The table has three fields: a numeric unique identifier called recID, and two string
fields representing our friend’s name and phone. If a table with such a name
exists it is first dropped and then created anew. Finally three rows are inserted i ...
... following example creates a new table called tblAmigo.
The table has three fields: a numeric unique identifier called recID, and two string
fields representing our friend’s name and phone. If a table with such a name
exists it is first dropped and then created anew. Finally three rows are inserted i ...
... There are conceptually two different ways to store XML documents in a database.
The first is to map the document’s data model to a database model and convert
XML data into the database, according to that mapping. The second is to map XML
model into a fixed set of persistent (database) structures tha ...
The Microsoft Jet Database Engine is a database engine on which several Microsoft products have been built. A database engine is the underlying component of a database, a collection of information stored on a computer in a systematic way. The first version of Jet was developed in 1992, consisting of three modules which could be used to manipulate a database.Database connect for MicrosoftJET stands for Joint Engine Technology, sometimes being referred to as Microsoft JET Engine or simply Jet. Microsoft Access and Visual Basic use or have used Jet as their underlying database engine. It has since been superseded for general use, however, first by Microsoft Desktop Engine (MSDE), then later by SQL Server Express. For larger database needs, Jet databases can be upgraded (or, in Microsoft parlance, ""up-sized"") to Microsoft's flagship database product, SQL Server.However, this does not mean that a MS Jet (Red) database cannot match MS SQL Server in storage capacity. A 5 billion record MS Jet (Red) database with compression and encryption turned on requires about 1 terabyte of disk storage space, comprising hundreds of (*.mdb) files, each acting as partial table, and not as a database in itself.Over the years, Jet has become almost synonymous with Microsoft Access, to the extent that many people refer to a Jet database as an ""Access database"".
