Tài liệu Data Preparation for Data Mining- P11 pdf

... 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 ... Series data are modeled either to discover the effects of time or to look at how the data Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark.used for nonseries data ... 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...

Tài liệu Data Preparation for Data Mining- P10 docx

... purchase PDF Split-Merge on www.verypdf.com to remove this watermark.difference to the interpretation of the result! 9.3 Describing Series Data Series data differs from the forms of data ... Modeling Series Data Given these tools for describing series data, how do they help with preparing the data for modeling? There are two main approaches to modeling series data. One uses ... 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 information is best...

Tài liệu Data Preparation for Data Mining- P12 pptx

... of the survey, rather than data preparation? Data preparation concentrates on transforming and adjusting variables’ values to ensure maximum information exposure. Data surveying concentrates ... 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 ... 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 different points of view....

Tài liệu Data Preparation for Data Mining- P13 pptx

... a mining tool.” “Information is contained in variability.” Information, information, information. Clearly, “information” is a key feature of data preparation. In fact, information—its discovery, ... that, as a rule of thumb for the minimum amount of data to accept, for mining (as opposed to data preparation) , use at leasttwice the number of instances required for a data preparation representative ... useful information. Also, information theory can be used to examine data as instances, data as variables, the data set as a whole, and various parts of a data set. Entropy and mutual information...

Tài liệu Data Preparation for Data Mining- P14 pdf

... variability of a data set is captured, entropic analysis forms the main tool for surveying data. The other tools are useful, but used largely for exploring only where entropic or information analysis ... the information content of the input data set is sufficient to adequately define the output. If this is not the case, get better data. The survey looks for local problem areas within a data ... note that this data reduction activity is not properly part of the data survey. The survey only looks at and measures the data set presented. While it provides information about the data set, it...

Tài liệu Data Preparation for Data Mining- P15 doc

... the CARS data set to predict the BRAND. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Figure 11.27 Information and noise map for the CREDIT data set. ... noise—all useful information for the miner. Not all information/noise/capture maps look like this one does. For comparison, Figure 11.30 shows a map for a different data set. ... map for the CREDIT data set in Figure 11.31 that carries useful information. In spite of the apparent perfect predictions possible from the information enfolded in this data (shown in the information...

Tài liệu Data Preparation for Data Mining- P16 ppt

... sort of data on which data mining tools and data modeling tools focus. The near future will see the development of automated data preparation tools for series data. Approaches for automated ... near future for data preparation includes fully automated information exposure for the types of data discussed in this book, including series data, and adding thematic, discursive text preparation. ... Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Data preparation looked at here has dealt with data in the form collected in mainly corporate databases. Clearly...

Tài liệu Data Preparation for Data Mining- P17 ppt

... mining tools and data modeling tools focus. The near future will see the development of automated data preparation tools for series data. Approaches for automated series data preparation ... near future for data preparation includes fully automated information exposure for the types of data discussed in this book, including series data, and adding thematic, discursive text preparation. ... Data preparation looked at here has dealt with data in the form collected in mainly corporate databases. Clearly this is where the focus is today, and it is also the sort of data on which data...

Data Preparation for Data Mining- P3

... 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, and for displaying ... 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....

Data Preparation for Data Mining- P4

... information discovered in the data survey affects the way data is prepared, it forms a part of the data preparation process. 3.3.8 Stage 8: Modeling the Data Please purchase PDF ... 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 ... 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....

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