... original information. This additional information actually forms another data stream and enriches the original data. Enrichment is the process of adding external data to the data set. Note that data ... example of enhancing the data. No external data is added, but the existing data is restructured to be more useful in a particular situation. Another form of data enhancement is...
... Transformations and Difficulties—Variables, Data, and Information Much of this discussion has pivoted on information—information in a data set, information content of various scales, and transforming ... their limited data capacity and inability to handle certain types of operations needed in data preparation, data surveying, and data modeling. For exploring small data sets, a...
... 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. ... Accessing the data 2. Auditing the data 3. Enhancing and enriching the data 4. Looking for sampling bias 5. Determining data structure 6. Building the PIE 7. Surveying the data...
... standard deviation of the sample. For large numbers of instances, which will usually be dealt with in data mining, the difference is miniscule.) There is another formula for finding the value of the ... of the formula shown above, but gives a different perspective and reveals something else that is going on inside this formula—something that is very important a little later in the data...
... 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 ... of pseudo-variable inputs for each alpha
label—that is, for this example, a unique pattern for each item in the produce department.
The domain expert must make sure, for exam...
... Translating the information discovered there into insights
about the data, and the objects the data represents, forms an important part of the data
survey in addition to its use in data preparation. ... 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 expo...
...
Third, and very important for maximum information exposure, the individual variable
distributions are transformed. This transformation makes the between-variable
information far more accessible ... 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...
... 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 ... Preparing series data for modeling, then,
must preserve the nature of the pattern that exists. Preparation also includes putting the
data into a form in which the desired inform...
... extracting information from 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. ... 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....
... of the survey, rather than data
preparation? Data preparation concentrates on transforming and adjusting variables’
values to ensure maximum information exposure. Data surveying concentrates ... density manifold stability.
But here is where data preparation steps into the data survey. The data survey
(Chapter 11) examines the data set as a whole from many differe...