Missing Values in Data Mining

von Subhendu Pani

52 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Themen: Technologie, Ingenieurswissenschaft, Landwirtschaft, Industrieprozesse Technologie, allgemein Erfindungen und Erfinder
• ISBN: 9783659753138
• Sprache: Englisch
• Erscheinungsdatum: 30.03.2017
• Größe: 220 x 150 mm
• Verlag: LAP LAMBERT Academic Publishing