... Oracle Data Provider for .NET 1-1
1
Introducing Oracle Data Provider for .NET
This chapter introduces Oracle Data Provider for .NET (ODP.NET), an
implementation of a data provider for the Oracle database.
This ... Documentation
For more information, see these Oracle resources:
■
Oracle Database Installation Guide for Windows
■
Oracle Database Release Notes for Windows
■
Oracle Database Platform Guide for Windows
■
Oracle ... usage information for Oracle Data Provider for .NET.
Oracle Data Provider for .NET is an implementation of the Microsoft ADO.NET
interface.
This document describes the features of Oracle Database...
... SAFETYDATA SHEETSM1
Some hazard information will be provided on labels, but the safetydatasheet
provides you with much more detailed information.
The information in the ... ed114/10/2002 MA
MFP ed116/10/2002 EMi
SafetyData
Sheets
Accidents - what to do in case of M3
In case of doubt seek medical advice! Bring the label or the SafetyDataSheet with
the patient. Underneath ...
(R-phrase)
A standard phrase which gives simple informaiton about the hazards
of a chemical in normal use.
The use of the SafetyDataSheet (SDS):
Get information about the hazards of the product:
Section...
... prepare the data set for mining—to best expose
the information contained in it to the mining tool. Indeed, the whole purpose for mining
data is to transform the information content of a data set ... various scales, and transforming information. The concept of information is
crucial to data mining. It is the very substance enfolded within a data set for which the
data set is being mined. ...
0.625
2.5 Transformations and Difficulties—Variables, Data, and
Information
Much of this discussion has pivoted on information—information in a data set, information
content of...
... execution data is in its
“raw” form, and the model works only with prepared data, it is necessary to transform the
execution data in the same way that the training and test data were transformed. ... considered alone.
Data Set /Data Survey Issue: Well- and Ill-Formed Manifolds
This is really the first data survey step as well as the last data preparation step. The data
survey, discussed ... and data format for each source.
4.1.1 Data Access Issues
Before the data can be identified and assessed, however, the miner needs to answer two
major questions: Is the data accessible?...
... the data is the place to start. So what is the “hare” in data? The hare
is the information content enfolded into the data set. Just as hare is the essence of the
recipe for Jugged Hare, so information ... original data set. The data preparation software creates
this variable and captures information about the missing value patterns. For each pattern
of missing values in the data set, the data preparation ... understand
the data.
Once the assay is completed, the mining data set, or sets, can be assembled. Given
assembled data sets, much preparatory work still remains to be done before the data is...
... not only for numerating the alphas, but also for conducting the data survey and for
addressing various problems and issues in data mining. Becoming comfortable with the
concept of data existing ... will find the best numerical representation, given the form in which the alpha is
delivered for preparation, and the information in the data set. However, insights and
understanding brought ... what a data miner starts with as a source data set is almost
always a sample and not the population. When preparing variables, we cannot be sure
that the original data is bias free. Fortunately,...
... include such
features as creating a pseudo-variable for “North,” one for “South,” another for “East,” one
for “West,” and perhaps others for other features of interest, such as population density ... from there to each of the nearest data points in each dimension. The mean
distance to neighboring data points serves as a surrogate measurement for density. For
many purposes this is a more ... Because for much of this curve, there is no single value of y for every
value of x. Take the point x = 0.7, for example. There are three values of y: y = 0.2, y =
0.7, and y = 1.0. For a single...
... putting data into the multitable structures called “normal form” in a
database, data warehouse, or other data repository.) During the process of manipulation, as
well as exposing information, ... number of sample data sets. During training,
there is one data set for building the PIE, one (probably the same one) for building a
model, and one (definitely a separate one) for testing the ... the most
information, or at least does the least damage to existing information. The only time that
an alpha variable’s label values come again to the fore is in the Prepared Information
Environment...
... least harm to the information content of the data set. Yet it still
leaves some information exposed for the mining tools to use when values outside those
within the sample data set are encountered. ... are somehow regularized. For instance, one such tool for a particular
data set could, when fine-tuned and adjusted, do just as well with unprepared data as with
prepared data. The difference was ... manifold, in the form of a straight
line, through the two-dimensional state space formed by the two variables. Figure 8.3
shows this for three of the variables in the CARS data set.
...
... perform the test. At the moment, there is the demand of upgrade the
second one to the first one by using some simple and low cost data acquisition systems using a
personal computer. The data ... CHÍ PHÁT TRIỂN KH&CN, TẬP 11, SỐ 03 - 2008
Trang 49
DEVELOPMENT OF AN AUTOUMATIC DATA PROCESSING
FOR TRIAXIAL COMPRESSION TEST
Pham Hong Thom
(1)
, Le Minh Son
(2)
, Phan Tan Tung
(1)
, ... recorded by examiner after certain duration. This paper studies on developing an
automatic data processing for automatic recording these parameters. A camera is used to
track the drainage level...
... 39.3 3.5 19.8 17.8
NOTE: The above listed discrete frequency electrical performance values are provided for engineering information only. Actual compliance testing is based
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Wire insertion force (0.5 conductor diameter): 6N
Wire pull out force, radial (0.5 conductor diameter): 5N
Wire pull out force, axial (0.5 conductor diameter): 35N ...
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Environment for use: Indoors or in dry enclosure ...
The HIGHBAND 25 RANGE of modules provides a 24 pair high-density, high performance, cost competitive Category 6 data
grade module, (the 25
th
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... Series Data
Series data differs from the forms of data so far discussed mainly in the way in which the
data enfolds the information. The main difference is that the ordering of the data ...
Figure 9.11 Waterforms and their correlograms.
9.4 Modeling Series Data
Given these tools for describing series data, how do they help with preparing the datafor
modeling? There ... descriptions of features of
nonseries data and various methods for manipulating the identified features to expose
information content. This chapter does the same for series data and so has two main
tasks:...
... transform accomplishes this. The second transform subtracts the mean of the
transformed variable from each transformed value, and divides the result by the standard
deviation. The formula for ... second transform subtracts the mean of the
transformed variable from each transformed value, and divides the result by the standard
deviation. The formula for this second transformation is ... noisy or distorted series data. They have
involved extracting a variety of waveforms from the original waveform that emphasize
particular aspects of the data useful for modeling. But whatever...
... back-propagated error.
The formula for this arrangement of weights is exactly the formula for a straight line:
y
n
x a
0
+ b
n
x
n
So, given this formula, exactly what effect ... function can be expressed as a formula, just as
the formula for determining the value of the logistic function is
For convenience, this whole formula can be taken as a given ... of the survey, rather than data
preparation? Data preparation concentrates on transforming and adjusting variables’
values to ensure maximum information exposure. Data surveying concentrates...