Aug

31

SOLVE YOUR COMMUNICATION PROBLEM WITH UK MOBILE PHONE SHOP ONLINE

Phone mobile is the thing that we can not leave without. It is always there in our pocket or purse. We always feel incomplete when we left the home without bring it. We can not deny that cell phone is important mean of communication since it was invented a decade ago. It becomes part of [...]

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Aug

28

GET CAREER AS MEDICAL ASSISTANT

Pursuing career track in medical field can be bright future because medical is one of basic needs for every human. This field needs many resources every year including resource which helps manage the administrative tasks also pre and post medical treatment. That is why the demand of medical assistant becomes higher every year. As you [...]

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Aug

28

Application of Generalized Rule Induction

Lets return to the adult data set for an example of how to calculate the J -measure. We applied Clementines GRI algorithm to the categorical variables in the data set, again specifying minimum support of 10% and minimum confidence of 75%, and setting the rule table maximum size to 30. The results are shown in [...]

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Aug

26

Get Some Excellent Eyeglasses

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It has so many excellent products. In the Zennioptical.com, you would be able to get the $ [...]

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Aug

25

EPILOGUE

EPILOGUE
Weve Only Just Begun An Invitation to Data Mining Methods and Models
I hope you have enjoyed Discovering Knowledge in Data: An Introduction to Data Mining, and that our experience together has whetted your appetite for learning more about this unique and powerful field of study. In fact, it is true that we have only just [...]

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Aug

22

CONFLUENCE OF RESULTS: APPLYING A SUITE OF MODELS

In Olympic figure skating, the best-performing skater is not selected by a single judge alone. Instead, a suite of several judges is called upon to select the best skater from among all the candidate skaters. Similarly in model selection, whenever possible, the analyst should not depend solely on a single data mining method. Instead, he [...]

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Aug

19

INTERWEAVING MODEL EVALUATION WITH MODEL BUILDING

In Chapter 1 the graphic representing the CRISPDMstandard process for data mining contained a feedback loop between the model building and evaluation phases. In Chapter 5 (Figure 5.1) we presented a methodology for supervised modeling. Where do the methods for model evaluation from Chapter 11 fit into these processes?

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Aug

16

LIFT CHARTS AND GAINS CHARTS (3)

Lift charts are often presented in their cumulative form, where they are denoted as cumulative lift charts, or gains charts. The gains chart associated with the lift chart in Figure 11.5 is presented in Figure 11.6. The diagonal on the gains chart is analogous to the horizontal axis at lift = 1 on the lift [...]

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Aug

13

LIFT CHARTS AND GAINS CHARTS (2)

Lift is a function of sample size, which is why we had to specify that the lift of 3.17 for model 1 was measured at n = 4824 records. When calculating lift, the software will first sort the records by the probability of being classified positive. The lift is then calculated for every sample size [...]

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Aug

10

LIFT CHARTS AND GAINS CHARTS

Lift charts and gains charts are graphical evaluative methods for assessing and comparing the usefulness of classification models. Lift is a concept, originally from the marketing field, which seeks to compare the response rates with and without using the classification model.We shall explore these concepts by continuing our examination of the C5.0 models for classifying [...]

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