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Více informací o knize Missing Values in Data Mining

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• Anotace
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Anotace knihy

The effect of missing values on data classification is studied. A comparative analysis of data classification accuracy in different scenarios is presented. Several search techniques are considered in the study for feature selection and are applied to pre-process the dataset. The predictive performances of popular classifiers are compared quantitatively. The dataset is drawn from a breast cancer detection-decision context available at UCI machine learning repository. After analysing the experimental results,the work establishes the general concept of improved classification accuracy using missing values replacement.

Parametry knihy

• Plný název: Missing Values in Data Mining
• Autor: Subhendu Pani
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 52
• EAN: 9783659753138
• ID: 16250771
• Nakladatelství: LAP Lambert Academic Publishing
• Hmotnost: 96 g
• Rozměry: 220 × 150 × 3 mm
• Rok vydání: 2017

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